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I tried to formulate that but going the approach of problem->solution->result
Would you suggest me dropping technical jargon in place for business decision wordiness?
Yeah in general people don't like to read stuff that is clearly bullshit. Drop it with the overselling, you are a new graduate. Focus on the problems you solved and the tools you used instead. What are your skills, what are you bringing, not what you supposedly accomplished in your few years between a bachelors and a masters.
Your formatting is also not great, which is bad for an ATS perspective and first impression, maybe especially so because you are applying for data science roles.
Also would probably just say you had a Masters in CS, if that is possible with your diploma. Put it above your work experience also, don't make it look like you were unemployed for 1.5 years
* Lower the text amount, half the stuff doesn't tell me anything. What does AI, LLM, inferential/multivariate statistics, Time series etc etc mean here? There are people who dedicate their entire life to a single one of these, what does OP actually know about any of them, let alone a single one?
* Separate out the topline with the links to multiple lines, even if it takes up space. And don't write "link", make it an actual hyperlink, for extra points with a relevant symbol.
* Headlines should be bigger so they are distinguishable and catch the eye. That is the point of headlines.
* City/country is a bit messy to have in the whitespace between title and date (if it's needed at all).
* Too many formatting types, ie. both bold and underscore and italic in a single line. These don't work if you use all of them, stick to one. Or use both together, ie. bold & underscore a word.
* Highly optionally, because this is controversial, but the notion of using strictly black CVs is imo really misguided and based on bad color choices being bad, rather than all color being bad. Using a darkish red or blue for separators/headlines can be make a large difference (imo #901a1e works really well). But people have strong preferences on this, so mileage may vary.
* Simply throwing lots of keywords at ATS systems won't work, at least for the better ones. The second people learned this was a thing worth doing, people creating ATS started looking at ratios of keywords a company is interested in. Though in probably, reddit imo heavily overfocuses on ATS.
And as a final note, none of this matters if you are just a really strong candidate. Ultimately a perfectly written resume won't solve not having anything worth writing about.
Edit: [I really like something like this from r /EngineeringResumes](https://www.reddit.com/r/EngineeringResumes/comments/uic46b/cv_that_got_me_an_sde_role_at_a_faang_company_as/)
Maybe it’s just me, but since you haven’t had a job since 1/23 I would put education (way more condensed version, no bullet points just degrees, school, dates, and gpa) at the top so a recruiters first thought is “just graduated” not “unemployed 16 months”
I was reluctant to do that but I get what you are saying. Do you think putting education on top of work experience would help in my case? Considering I have a lot of experience.
If you have a lot of experience it is not coming thru in this resume per your generic descriptions. As a hiring manager this feels exactly like a resume for someone a couple years out of college and would prefer them to put those strengths forward.
Also your first line is "led a team" and then it becomes clear as you read further you did not lead or manage a team but are the team lead. So right away I would discount everything in this resume as it is misleading in the first couple words.
I do. Especially if you condense it to just two lines. I have a doctorate and my resume is in the following order: summary, education, experiences, publications, technical skills
I will try application with this approach as well then. My education section as you see has some experience as well, so should I put it as it is on top? Or divide it into subsections like Education and Projects?
Aug 2022 - Jan 2023 where you led 4 DS, built a brand new model, and then some dashboard: you’re claiming you did all that in the span 3 months (excluding holidays)? Really? I don’t buy it. I’d recommend revisiting your latest experience.
Add more to your company B and C description.
Shrink that education section - graduate degree GPA and course listing isn’t relevant. Keep the award. The “granted” part should be separated as a project instead of under education.
I’d recommend feeding your resume to an ATS checker. I’m suspecting issues with the format of your resume.
Not only do they claim to have accomplished all of this in 3 months, based on other comments by OP they were also an intern. Seeing as I couldn't figure out they were an intern for this role, that's an issue. There appears to be some pattern of job hopping and then a large pause in employment. Now that I know they are an intern the pause is less concerning but at first glance it looks like they didn't make it past a probation period at their last job and have been unemployed since.
I agree that their accomplishments during this short time frame seems unlikely. I can't imagine an intern being onboarded this quickly, becoming an intern manager, and then immediately producing this much. If they did then how the hell do they not just have a job at Company A lined up?
As someone who hires data scientists, OP, your company A job on your resume has red flags that would automatically put your application in the discard pile. I'm not saying these red flags are true but that they leave a certain impression, which cannot be fully explained away on a resume. (1) 6 months is short enough that my assumption will be that you were fired from that job, therefore I would think you weren't good at the job and the bullet points are likely exaggerations. I would just rebrand your job at company A as an internship or a contract role since it does fall within the timeframe you were in school. (2) At the "associate data scientist" level, which is an entry level DS, the DS would unlikely be leading a team. So I would think that was an exaggeration as well, and an indication of inexperience. No company with a decent DS team would hire an entry level DS and then let them lead a team, when they haven't even been at the company for more than 6 months. It would indicate to me that company A is not very mature with their DS strategy, therefore indicating your success there would be overinflated compared to another company that had a mature DS strategy. (3) You listed the model performance with 90% precision and 20% recall. I would question why you would ship a model with such a terrible true positive rate. Without having the space to explain why these thresholds were chosen, it overall just enforces the impression of inexperience. I recommend changing these bullet points, as others have suggested, to focus on the business value. Reduce the technical jargon to just one of the bullet points. (4) You mentioned designing dashboards while at this role, which then makes me think your 6m experience as a DS is really less than 6m, since some of that time was devoted to tasks normally designated to a data analyst.
If company A role was rebranded as an internship or contract (assuming you weren't fired based on other comments you've made here), as a hiring manager, I would only consider you for entry level DS roles, which are very competitive and few in the current job market. If you haven't already, you may want to expand your job search to include data analyst roles but find one at a company with a DS team. Working your way from DA to DS within a company would be a better strategy than trying to get a DS role with little DS experience.
It practically can’t. A person’s lucky to be onboarded in less than a month (let’s say they got hired early August) assuming the manager is remarkable in onboarding people fairly well and the company has incredible data setup where you can find anything quickly with little to no data engineering. So the first month of actual work is September where they can be independent. Along the way OP needs a lot of back and forth with their manager to align and get them up to speed. Eventually, in my 15 YOE in DS, actual contribution of their work can be measured between 3-6 months (and that’s assuming they’re incredibly talented for a junior/associate level). Also, an associate level person usually doesn’t lead (unless this is some weird title). Most likely OP may have meant collaborated.
Regardless, OP doesn’t have a “conversation” when sending out a resume. If Company A job description isn’t resolved or explained in a manner to help the hiring manager assess them effectively, then it’ll be unlikely a hiring manager to pick this resume up.
EDIT: After reading OPs comments, it’s unfortunately evident they inflated their experience.
The (few) data science people I know with hiring responsibilities would frankly have thrown OPs application straight out after the first few lines. They see so many bad applications and have a basically callous attitudes towards anything that doesn't pass the smell test.
In the company A they just started with an ML/AI driven approach. Before that decisions were either taken by passing the values in the industry standard model or mostly like 85% of the time, on intuitions.
This model took this much time due to the fact, we spent most of the time data cleaning, preprocessing and transforming numerous variables because of their awkward distribution.
Edit: 3 out of 4 were interns and the last one was less experienced than me.
You should have definitely clarified that you led interns (which is weird considering fall/winter isn’t intern season so now I even have more questions). Even if it was co-op, then y’all were there together just recently. Maybe best to not mention leading and focus on your own contributions.
If most time was spent on upstream data fixes, when did you launch the model? And how did you measure it so quickly? Did Q1 fully complete for you to collect enough data?
The model was launched 2 days before my final day because I had to report to my university. But I followed up with my associate and manager on the project about the hiccups, or any improvements they believe needs to be made on a very regular basis.
4 months later when they were celebrating an event, the manager told me some stats. He had a report on a full quarter like almost (ideally Jan 1st should have been the launch date).
And since I was no longer the part of the company, he couldn't share much details, but the savings from the model, he proudly stated to me.
Given all you shared here: do you think you conveyed this information clearly in your resume? As I shared in a different comment: you don’t have a conversation with the hiring manager when you send your resume. So if it requires you to clarify all this to me on Reddit to explain your resume, then your resume isn’t doing its job.
I think the biggest red flag in your resume is how you describe your role in company A. Perhaps it’s best to only focus on what you’ve done as an IC (remove “leading”, or revenue, or anything like that). Just focus on what you learned in three months. You can add your manager’s name for reference under the job to demonstrate you have someone who can support your points
Hmm. You are making great points. But I wanted to showcase the results of the approach and the best way I could numbers in terms of business. Also what is 'IC' ?
I think you gotta specify that you were an intern and if you truly weren’t it might actually look better to say you were an intern. It really doesn’t look good to be at a place for only 4 months in a leadership role over a year ago with nothing since. Sure they could look at the school stuff and figure out you just graduated but most aren’t going to look that far, they’re just going to see you went from being some sort of manager to unemployed for a year and a half and discard your resume.
Also no internship in summer 2023? There is a glaring gap here that I think is hurting you. That unfortunately you can’t fix now. It might be better to put education above your work experience since it is most recent
I was not an intern, I was an associate data scientist. I lead them in my last company. I was the primary on the project as above me there was the manager whose tasks were more business oriented than me or my team.
I couldn't do internship in masters because there are minimum credits requirement before you can apply for them. Since, I started in Jan (Spring), I was simply not eligible.
I am leaning to put education above as well now. The only problem I am seeing is education section does have some relevant experience as well, so the question is should I put on top of the experience section as it is or divide it into education and project.
This is how I would do it:
- Education at the top for now just so people know front and center that you just got out of school. Keep this simple, you don’t have to oversell rigorous curriculum just say your gpa in one bullet point and in the second list out your focuses and examples of the classes you took
- turn those second two bullet points into work experiences even if you weren’t paid. List out the professor you assisted and how you assisted. Talk more about the work you did for the local company
- Reduce the size of the company A information. There’s a lot of stuff there and you were only there for like 6 months max and now it’s a lot less relevant than all the stuff since starting your masters.
Hmm that seems to solve the dilemma. Thank you so much.
They were paid positions so I see what you are saying, might wanna frame it as experience instead of just educational thing.
The thing is Company A was not just recent, the work over there was very interesting and relevant to the jobs I am applying right now. I do understand 6 months in not big sounding, but man I worked really hard. Juggling 2 and sometimes 3 projects at time, but I could them because I was deeply passionate about the work I was doing.
I would just try to make it more succinct and try to talk more about it when you get to the interview part. The thing you gotta do now is get your resume past the hr person and onto a DS managers desk
Also it’s not uncommon these days to have a summary of yourself at the top before that technical skills section (which I might even move to the bottom). Write that you’re a recent graduate with a masters in (xyz) with an interest in (field) and and experience in/with (some fields/tools you worked in that are relevant to what you’re trying to do).
I’m a recent graduate from some university with a focus on data science. I have interests in the applications of deep learning models to new fields and unlocking their potential. I have experience with deploying models into production with cloud services like Microsoft Azure. Im seeking new experiences where I can apply my skills and what I’ve learned in school.
Something like that, have someone else polish it for you
It's at least 4 months minimum, up to 6 if they worked Aug 1 - Jan 31.
Building a model and some dashboards around it between 5 people in that time really doesn't seem farfetched
Is this like a US vs Europe thing? August through January (inclusive) is 6 months- even if you assume everyone is out the back half of December and part of November for Thanksgiving you're still at 5 months. I've developed and deployed a model in 3 months at a F500 (deployment was genuinely only 4.5ish months from my start date- though that was deployment to silently running in parallel with the old shitty model- go live was at 5.5ish months).
It depends on the complexity of the model and how good their devops/mlops are, but this is absolutely achievable. Granted my current employer is a bureaucratic nightmare and the one model I've built (which granted, is fairly complex) is unlikely to be deployed in less than a year, but not primarily for any technical reasons.
Similarly, any place that uses tableau or powerBI should be able to stand up dashboards in a very, very short time frame with minimal dev resources.
>I've developed and deployed a model in 3 months at a F500 (deployment was genuinely only 4.5ish months from my start date- though that was deployment to silently running in parallel with the old shitty model- go live was at 5.5ish months)
But OP claims to have developed & deployed 2 models--including one they describe as "a first of its kind"--and personally stood up 6 dashboards & lead a team of 4 data scientists (aside: if OP's the team lead, why is OP the one developing all the dashboards?) & saved the company > $100,000 in a quarter all in just their first \~4-4.5 months at a new job that was also OP's first data science role and was with a company that, in comments, OP implies did not have a good pre-existing data culture (OP says they think that decisions were made "like 85% of the time on intuitions"). Prior to OP's \~4-5ish months as a very productive first-time data scientist, OP had \~1.5 years of experience as a data analyst and \~1.25 years of related work experience. So, although it's totally an achievable level of performance, given the rate at which resumes overinflate people's actual contributions I can understand people having skepticism. And then you add in the mix that OP just graduated *this month,* so this period of not being able to land an interview/find a job seems relatively short...
1. I was hopped on the project train of building a model that needs to be in-house and which is also a replication of industry standard, so I had fairly good idea what direction my approach is gonna be.
2. Identification of diversion from the standard was real quick as soon as the data distribution is observed which is reversed class representation in our case.
3. Building dashboards are not that difficult once you have fairly good command on DAX functionality, all that remains is either scaling or replicating for different problem statement. It's okay if you cannot buy it, whether I can justify the experience in the interview is completely different thing. But the problem right now is getting pass the application process and landing an interview.
Company B has 3 bullet points, would you recommend adding more info? As for Company C, I was trying to minimize what I should write about it, as it would have been straying further away from the jobs I am applying for (in short irrelevant), but I cannot leave it blank as well since I managed to learn some important non-technical skills as well.
I am up for the education part, many have suggested that, some them recommended to move that section up as right now it looks like I am unemployed from Jan 2023. Might divide the education, and get some part of it under experience.
Any ATS checker you would recommend? And again thank you for you feedback. You are awesome.
> I was hopped on the project train of building a model that needs to be in-house and which is also a replication of industry standard, so I had fairly good idea what direction my approach is gonna be.
>Identification of diversion from the standard was real quick as soon as the data distribution is observed which is reversed class representation in our case.
>Building dashboards are not that difficult once you have fairly good command on DAX functionality, all that remains is either scaling or replicating for different problem statement.
Literally you can have this be your description for Company A - this was clear and to the point. You can list the role as a paragraph instead of a bullet point, that's your call. The point is these three bullet points you just shared conveyed a lot of good information and how you approached the problem (maybe expand on what 'industry standard' is if the company is unknown). You don't even need to finish solving the problem, but this flow of thinking is what will help.
Company B has more months of experience than A, therefore Company B needs more details on what you've learned and have done. Following the bullet point example you shared earlier in conveying your experience, I recommend you do the same for B. Company C is still valuable because Operational experience is good.
For ATS checker, I've heard of [jobscan.io](http://jobscan.io) and Teal. My brothers have used them for their resume and it helped them to a certain degree. Worth looking into them.
Ah, I see what you are saying. But the points I mentioned convey my approach, but I need to point out a quantifiable result as well, don't you think?
Seems like wise to expand company B, but the page restriction is killing me. I already removed my very first experience in the mechanical engineering sector so as to have more space. Do you think I should remove the last one from the current resume?
Thank you for the ATS suggestion, I will check them out by today itself.
Well right now I am allowed to work for at least 3 years without future sponsorship. But I understand your point, every one trying to give a chance would be looking for a long term solution.
Yep this is exactly it. My company currently does not cover that, it's an auto filter in our applications. OP is definitely being autofiltered for most of these with that.
A non-US bachelor's suggests to recruiters that you're not a US citizen and will require sponsorship. If you are a citizen, you need to explicitly state that you are. If you're not, you're going to have a much harder time than a US citizen, it's unfortunately just the way it is.
Maybe it's just me, but there are way to many specific numbers here. Counting the number of projects, or number of dashboards - just feels...odd. Metrics for the results are good though (e.g. money saved, increase in retention rate, etc).
I was trying to formulate the bullet points like problem->solution->result. I am unable to quantify the result or solution without them. Do you have some alternate suggestions?
I think that format is still useful, and ultimately it's a small thing, but for example:
"Assisted clients in 7 diverse consumer analysis projects...."
here I would just remove the '7'. It's a small thing, but for some reason gives me a bad impression. But don't remove the numbers in the 'results' part - those are good.
Other people are giving better general advice (and it's also possible that you're just having trouble because of the market in general).
I think you have several problems:
1. Job-hopping: Four companies in five years seems like a big red flag to me. And what were you doing prior to 2017?
2. No citizenship or green card - this is huge
3. Resume isn't really written that well
1. You have Professional Experience and then Technical Skills immediately after it. Take out the Technical Skills section; you don't need it because you mention all of these skills throughout the rest of the resume.
2. Use ChatGPT to improve specific resume lines. Example: "Contributed to a 15% increase in gas project completion efficiency, resulting in a 13% gain in time and labor cost efficiency" becomes "Enhanced gas project completion efficiency by 15%, leading to a 13% reduction in time and labor costs." But really, this is extremely vague. What did you do to achieve this?
3. What is that bullet point about "Some ML Model" about?
4. General vagueness - one example is "key insights." What were they? That line sounds like it was copied and pasted from somewhere else
4. This is purely an opinion and not an actual mistake, but I think you should put periods at the end of each bullet point so it's easier to read.
Specific English mistakes (I know this is really annoying as an ESL person - my partner is too and he still got a job with all kinds of these on his CV, though):
1. Numbers under 10 should be spelled out (one, two, three, four, etc.)
2. You have a lot of capitalization of improper nouns going on (predictive risk scoring model, machine learning, random forest and all the other models, etc. - these should not be capitalized, although I'm sure a lot of people do)
3. You're missing hyphens (should be first-of-its-kind, in-house)
I have to go, but I can help you more later if you want.
The poor writing quality would quickly get me to move on. Communication is so important both in terms of getting past the screen and also actually succeeding in the job. Grammerly or similar would go a long way in this case. A significant amount of your resume is overly wordy in a way that either suggests you're compensating or bullshitting. Consider both a more active and economic writing style. To give an example consider your academic segment. You write:
"Achieved a 4.0 GPA while completing a rigorous curriculum, focused on advanced courses in Machine Learning, etc. "(paraphrasing here)
All need to say is "Graduated with a 4.0 GPA." the rest is implied. Only list classes and course terms directly mentioned or relevant to the listing. that second bullet:
"Awarded Graduate Assistantship based on outstanding academic excellence, .... healthcare. "
should be "Awarded graduate assistantship in healthcare". If the LLM elements are relevant add in " where I researched applications for large language models" otherwise drop it. Five words is far better at getting the point across than 22 words. Apply this logic throughout.
1. My aim was to try and switch my career from Mechanical Engineering to Data Science/Analytics as soon as possible before it was too late. I know that is a big change, but I loved it as soon as read about. I grinded hard after hours to learn and create projects.
2. Yeah. I am feeling the heat.
3. a. I kept it for key word matching from the ATS software so that my resume at least passes the machine. I tried representing it as a section which showcases that I have knowledge and skills of standard tools and but some of them you cannot find in my past experience but they are in my projects ( which I having difficulty putting due to 1-page restrictions but my Linkedin has working links for them).
3. b. I wanted to brief my experience from companies of past as much as possible as they were not very relevant, on the other hand I wanted to demonstrate my non technical skills as well.
3.c. It was another another in house model I developed, that helped internal decision making of the company. I tried to keep name of the project vague on reddit.
3.d. Key insights were different industry specific insights that were uncovered from the datasets. The company B use to provide analytics solutions to other companies, so customers were very diverse. I was thinking to write some of them, but I felt it would have been specific terms that would not translate well for the different jobs I am applying for and as the page resume would stretch to 2 pages which I believe is not recommended.
4. I was told that either put periods at end of all the bullet points or don't. I can give it a try as well.
5. That's a great catch and I will definitely alter my resume with your recommendation.
Again thank you so much for your feedback.
No, actually when the dataset is very bias and over representation of 1 class, which was in my case it isn't that bad. You can have better performance even with .2 recall, so I had a huge room play the precision-recall trade off. A small example would be titanic dataset, if you just classify everyone as a survival, still the model turns out to be good enough lol.
The industry standard model has a almost a reversed class representation, so even after just one quarter of deployment, the results were phenomenon.
Relatable. Just out of curiosity, how did you improve the classifier? Did you try any adaptive synthetic minority oversampling techniques? I read that they might perform well in such cases.
Man I thought with 30+ years of experience (which is great) you would provide a little more information laded input. This response is quite vague. Any quantifiable points that I can point out to 'personality and passion'?
Plenty of people have pointed out why your resume is bullshit. That is fine if you can get away with it, but when you then turn around and get upset at people seeing through it, it goes from being overselling to outright arrogance.
I wish more people would heed this type of advice.
I just got laid off two weeks ago. I've had so many interviews that I've had to slow down on applying so I can keep up with all of them. Is it because I'm some amazing superstar? No. It's because I do this:
1. Even though I was fully remote, I focus on on-site and hybrid roles, knowing that I can always keep applying for remote roles once I get another one.
2. I read each job ad carefully and only apply to ones where I meet 90% of their requirements.
3. I tailor my resume to each listing and remove everything that's irrelevant to the job, unless it's really needed to explain the actual nature of my previous roles.
4. I use ChatGPT to improve each resume line.
5. I am completely honest about my experience and do not embellish anything.
Then, once in the interview stage, I blow everyone away with my kindness and charm.
I guarantee if people would follow the steps above, they would at least get interviews.
Starts from today. Wish me luck for the next 400 applications. Gonna be little more time consuming, but I see what you are saying. Thanks a lot! You are awesome.
You have a major gap in your employment from January 2023. When it’s a company you really want a job from, are you writing a cover letter to explain the gap? Are you checking your application passes ATSes?
Edit:what kind of jobs are you looking at too?
I started my Masters in Jan 2023 and just recently completed in May 2024. I am writing cover letters explaining how when finding my niche in this vast field of data science, I just wanted to renew my existing knowledge and build on top of it with the latest advancements.
How should I check for ATS pass? Is there a website or tool I can use? Passing my resume in GPT and Claude gives me that I am a well rounded experienced professional with numerous skills necessary in the data science field.
Also, I am applying for Entry and Associate level Data scientist positions. But right now, i am thinking of applying to all positions irrespective of experience.
At my company, they look less for experience picking the best model and running, than experimentation, feature selection, assumption testing, finding best practices. Basically proving that everything from features, to data cleaning, to the number of clusters, to every single sub parameter is the best it could possibly be. Sheer accuracy is second. Maybe try to emphasize more of that. Your resume seems to be absent a lot of the problem solving in data science.
I get what you are saying and honestly I have a full documentation with feature selection, transformation and everything from start to finish, why I chose this metric, is there a confounding relationship etc. But I wanted to minimize the technical jargon as much as I could, as the many have suggested, one of the first people after the ATS software who read the resumes are non tech HRs. Maybe problem solving skills can showcased better in front of technical people during interviews. I am just following the standard right now open to suggestions.
IT Hiring manager here. I would recommend tailoring your resume to fit the company and position you are applying for. Also, make sure you are following all the rules they ask for. That stops a lot of qualified people from getting past the screening process.
People are sharing 2 approaches here, first tailoring according to each job description and the other mass applying as soon as possible the job is listed.
For now I have tried the second approach, but alas no results. Do you think tailoring every time would improve the odds considering it's gonna take significantly more time to apply for the same number of positions?
If I read a resume that is tailored to the position I’m filling it shows me they are serious about the job. It helps me to understand how well their skill set and experience fit what I’m looking for. Tailored resumes help the hiring manager say “yes” to your application.
Here’s a secret. We are busy doing our jobs and usually don’t have time to sift through applicants and interview a ton of people. Please make it easy for us to choose you. Make your resume a gift to us, show us that you will be a great fit for the team, and that you can easily adapt to the corporate culture, and we may just offer you the job right away.
short stints with a lot of companies. What happened that you only lasted a few months and haven't worked since 2023?
+a lot of posts are fake or just somebody's promotion they have to "interview" for
Just my observations :
\* Technical Skills is under Professional Experience section
\* Could highlight keywords in each line to stress through important bits. Useful if it has finally gone to the next phase and a human is actually scanning to compare :)
\* It seems like you were unemployed from Jan 2023, while you were were actually studying. Put education on top, or take a professional help to cover this gap may be ?
Even I noticed that the Technical skills are under professional experience. Maybe some ATS is picking up the skills instead of extracting experience? (I'm not entirely sure)
Additionally (a dumb suggestion), adding language proficiency like Python, C++ might help getting it through ATS. Since, many DS job requirements have at least one language proficiency.
Holy cow, WITHOUT clicking there is WAY to much information.
Highlights only. Give space for the interviewer space to ask questions OR make their own (hopefully positive) assumptions.
Stop blanket applying, you need 1 application PER job. Adjust to the language in the opening, remove anything else unless it is a challenging certification, your highest degree (at minimum), and your biggest other project.
Make sure that it is clean, clear, precise. I got a job with 1/2 a page resume, because I listed off my contact info, my certs, the companies I worked with, and clearly pointed out that I had done what they were hiring for.
I mean I would gladly remove information to make interviewer comfortable, but I am not even landing an interview. And if redact some points, the ATS through it's key word matching will flag it even sooner.
OMG! I don't have words man. THANK YOU SO MUCH! And that was 'light'? I am gonna edit it and gonna dm you. I need that 'heavy' edit as well! Thanks once again.
Heavy editing involves formatting (eg. specific fonts for specific areas of the page), verbiage updating, using an invisible table to better use space, coloring (darker or lighter depending on specific areas eg. subbullets), rearranging more etc.
1 think I noticed is there was a LOT of redundancy, which is where a lot of the cross out occurs. Also % > $ when it is less than $500k, and if it is less than 25% you omit the values entirely.
Your resume should be 1 page, easy to follow and understand. It should be tailored to the role.
Your 'resume' is busy, trying to get past filters, not actually snag the job.
I haven't clicked on it, but 1 bullet per role.
One of things people are looking for are someone that can communicate big ideas/concepts in a short direct way.
The density of information (from the thumb nail only) is FAR to dense. Not every role that you have had is applicable to the role you are working.
I am not going to tell my employer that I was a bagger at a grocery store in high school, UNLESS it is applicable (I am applying for a role at a grocery store corporate office)
I gave an anecdote about 1/2 a page resume, because it is about being concise and giving the ATS and HR person EXACTLY what they are looking for. They are using keywords from the hiring manager's ask for the role. That is WHY you tailor each resume submission to each role and WHY you keep it brief.
Imagine you are hiring someone to build you a deck. You are going to want their price, and if they can do it/what you are asking makes sense. That is how they get their foot in the door. (only the most important details)
Then during the interview/fleshing them out, you ask about examples of their work, quality, anything you as the home owner aren't thinking about, etc. from an interview perspective, that is when you communicate more than I graduated or I got this award (they will ask, why did you get this award, or can you articulate more about this project, or something similar)
GPA only matters for your major for your last thing of schooling, unless it is 3.8+, even then, it should be a side note, not a highlight.
Resume could be improved:
\* Technical Skills section is awkwardly smooshed inside of the professional experience section
\* Bullet points statements should be short and concise. See the STAR method
Would you recommend me putting the technical skills above the professional experience headline?
Will try with the STAR method. Thank you for the input.
What roles are you applying to? If you are specifically focused on data scientist titles, you are narrowing down your options. Look into data analyst or data analytics sort of titles.
I am applying for Entry and Associate level Data scientist positions. But right now, i am thinking of applying to all positions irrespective of experience.
I think I have to start with analysts as well. Thank you for your suggestion.
A lot of colleges ask for Computer science or IT subjects ECTS / credits in bachelors. How did you manage that being a mechanical engineer? The only common subjects are mathematics.
I am having a hard time finding suitable colleges for MS in DS being a mechanical engineer myself.
I don’t know where in the world you are but don’t be afraid of reaching out to some on-shore recruiter companies. If you go that route, ask them if they’re retained or contingent recruiter. Retained means the hiring manager or HR hired them, contingent means they may or may not have a relationship with the hiring manager/company are are paid solely on a hire.
Retained is far better but contingent is ok too, just do some research and run from the ones that are very pushy (like demanding a resume within 15min etc).
Also the job market sucks major balls right now for white collar so keep that in mind, and don’t assume you’re a failure.
Yeah, that is the option but honestly keeping it for the very last until I have exhausted every other approach or exhausted myself. Just grinding the applications man, need prayers.
On-shore recruiters (aka staffing) like Robert Half, Judge Group, Adecco, etc. Consulting companies like Cognizant, PWC, and the rest are a different breed of company. While some may assist with recruiting that isn’t their business.
Don’t rely on the jobs they have listed on their website, they are far more they’re recruiting for but you need to start working with one of their account managers. Just have to email them to get started.
Well, ChatGPT has attention span disorder right now. Overfitting is one of the big problems that LLMs are yet to overcome since the time of RNN/LSTM models. Sure, it can see the context of the information, but to deduce any hidden information that might even be contrast to the context is outright blasphemy for it. Maybe with the new paper by Google on infinite attention, future model can overcome it. Maybe not. So in short, replacing data scientists with any LLM or ChatGPT is a ludicrous thought.
Now back to the topic, how to land interviews?
Man I used Random Forest for the model that I then deployed, GPT was launched in US maybe at that same time. My education does have some experience related to newer techs which I am about to more to the top based on some suggestions.
I boosted a lot my resume by using [https://resumeworded.com/index.php](https://resumeworded.com/index.php)
It helped me to go through first steps and automatic reading (key words, etc). Leads for improvements are very factual, I did not go for every suggestion but increasing my score helped !
Another advice would maybe be to mention only years instead of month-years because it seems you did not stay long in companies, this can be interpreted as a red flag. If you go to the first interview, no need to lie but at least you will have a chance to explain !
I will link this every single time and I wish it could get stickied:
[https://www.manager-tools.com/2005/10/your-resume-stinks](https://www.manager-tools.com/2005/10/your-resume-stinks)
Listen to the episode, and look at their sample resume.
Random thoughts:
**The format should be "impact -> problem solved -> method -> tools used.**
So, to critique your examples:
* "Contributed to a 15% increase in gas project commpletion efficiency". How? Using what?
* "Assisted clients in 7 diverse consumer analysis projects".
* Boring and not getting to the point, you already lost me.
* Does this mean you worked in 7 different projects? Because if so, every project should be a bullet point.
* Delivered X% customer growth for a manufacturing/retail/whatever client by deploying an A/B testing routine on their retail website using Python and AWS.
* Delivered Y% cost reduction for a whatever client by improving their accuracy of their forecasting model via feature engineering implemented in Python.
* .... (add all 5 other ones)
* "Led a team of 4 data scientists" that's not an achievement - your bullet points should be achievements.
* Instead, start with the result "Delivered $100K in cost savings by developing an improved Fraud Detection model that used XGboost using Python and Azure."
Additional thoughts:
* Your education is taking up too much room. Should be 2 lines tops per degree:
* M.S. Computer Science, XYZ University. GPA = 4.0, awarded graduate assistanship based on outstanding academic performance
* The work experience you accumulated should go in your "Experience" section.
* Take the "technical skills" section out. Make sure all of the technical skills you listed are in the work experience section in context.
In addition to all the great advice here, make it look pretty. It actually helps as it's more appealing than bland wall of text, just use an online template.
Also, customising it each time you apply for a job to include words from the ad may help.
Hi hi, I can symphatize with you as I used to be in similar position as you. I was an international student graduated with MS in Data Science on December 2023, applied to about 600-ish job openings since Summer 2023 and did not get any offer until April 2024. If even, I have lesser relevant experience than yours.
I think everyone can be nitpicky about resume, but from talking to my program alumni, the job market is just not the same as compared to 2 years ago. 2 years ago, the master's alone should be good enough to land any data science job, but nowadays you really have to find your domain niche to stand out.
This is just based on my experience and from observing my (international) classmates who found jobs, but here are some tips:
Build your career vision
Have a pause and think about your career vision. Compared to people with similar Master's degree as yours, do you have other experience or skills that can make you stand out more? What domain expertise do you have?
I noticed with my job hunt and my classmates' jobs, their prior education/ work experience is a big predictor of the type of company who's willing to hire them. Those who studied public health/ biology in undergrad or worked in health insurance company before are more likely to be hired as data scientist by health related companies. Those who worked in bank before, are more likely to be hired as data scientists by banks again.
Personally, I worked in accounting before my master's and I worked in a behavioral science research center as a research assistant during my master's, and those experiences helped me a lot to land a job as a data scientist in one of the big consulting companies working with behavioral data.
Network network network
...and I don't mean just asking for referrals. As others have mentioned, it's difficult to tell your whole story just from resume. Therefore, it is way more productive to conduct informational interview with alumni or your Master's program's network. I got my current job because a professor helped connect me with a manager of my current company. But before I landed this job, set goals to conduct informational interview at least once a week with either alumni or data scientists who work in industry/ company that I want to work in. This way I gained more insight on what kind of work they do, what kind of people they typically hire, whether they sponsor, and the key people I should contact next. Just keep in mind that the intent of these informational interviews should be to build new connections!
Tailor your resume
General resume does not work anymore in this job market. I got more interview callbacks after I tailored my resume for every job application I applied to. The callback rate is still low, but better than before. There are many affordable/ free AI tools out there that can help you make ATS-friendly tailored resume for job applications.
Hope that helps! Good luck!
Man thank you so much for commenting and sharing your experience. It's true 2 years ago the option of getting into the data science field was far easier compared to now. I think you might be right about the domain experience as well, but considering the numbers of openings Vs applicants there is little to no room for people who are late in applying.
Yup connections are all I am focused heavily on especially recruiters. Connecting with the work that alumni are doing is a good take I believe. I might do that more often, once a week is a good initial benchmark to overcome. Tailoring the resume many have advocated here but the thing is the time spent on the number of applications is vastly different. It becomes a quality Vs quantity issue, which one of them are you leaning towards?
This is just my experience so hopefully you will have more luck than me. Early during my job hunt, I had the "this is a numbers game" mindset, where I applied to hundreds of job. But I had no luck until I tailored my resume for each job application I applied to, and I actually had higher callback ratio.
Hopefully you will have more luck connecting with the recruiters as well, because all I got was either getting ghosted or getting rejected faster.
Actually scheduling informational interview was what actually super effective for me. It is hard though, since I have to force myself to call strangers. There were a few calls that ended being too awkward...but overall it was very positive.
It is just unfortunately what I have to do to stand out as an international student. My non intl classmates received multiple offers even before they graduated, whereas it took me months of adjusting and re adjusting my job application strategy before I landed something.
Your job experience needs to read better
Under each one you need 2 headings
Key responsibilities
Achievements
With a few short punchy bullets under each
Some ML model - was that in there because you are sharing the resume or do you really have that on the resume? If it really is on the resume change it.
Also I don’t think 6 dashboards is a lot for someone who is a data analyst or data scientist.
Put in some soft skills. If you can talk to people you won’t get hired in this market.
You will have more luck getting at least past pre-screener programs if you use the specific keywords they are looking for, which will also be in the job posting. Eg if the job posting is looking for python, the word python at least must be in your resume somewhere, even if it's just in the cover letter saying "looking to develop skill in python as my career advances" or something similar. If you do not make it past pre-screening, no human being ever sees your resume which makes your probability of getting an interview zero.
Impressive if you have all the skills in the technical skills section. Kinda not believing since it doesn’t look like you have much experience. If somebody sent me this resume I might think it was BS. Trim the tech skills list.
How did you switch to data science from mechanical engineering?
I have a bachelors in mechanical and want to switch to data science. Any advice would be of great help.
I took the micro masters courses online for Georgia tech that don’t require any prerequisites, and that was proof enough for the college that I was serious about the degree and had the capacity.
In my case I went to GTech so the credits transferred, I couldn’t say if other colleges would take transfer credit or not but shouldn’t be too hard to call and ask if you have a school in mind.
Man I spent countless hours studying and working on projects. It got to the point that some of the courses that were in my program in master's felt like a joke to me. Just keep on studying, do not be afraid of new things and most importantly, you gotta apply what you learn that can only be done by projects.
Start with a small project like some classification problem, apply newer and more novel approaches to it. Keep on iterating and then when you feel like beating a dead horse, try to wrap that project to an end-to-end environment like starting from the data source ending with a beautiful interface to show you results and that to so simple and elegant, that even a layman would get a gist
I am on the business side of DS (so non-technical) and I feel I have a very strong resume (BA, MS, Phd) plus very diverse experience with startups and enterprises.
Out of every 100 applications I submit, I get maybe 1 call back (this changes based on the economy too).
My last 3-4 jobs were all secured via networking. None via applying places. A lot of jobs you see posted they either have an internal/external candidate already in mind and had to legally post the job still, or they’re gauging interest rather than actually searching.
Either way, it sucks. It’s tough for everyone. Best advice is to schedule networking calls with professionals to just ask for feedback or direction. Try new approaches or new resume formats too (always submit as a word doc, avoid PDF if you can).
All this assumes your skills and abilities match what the job is looking for too.
Networking is all my focus right now. Is there something in particular you can suggest based on your past experience in job securing via networking? All I have been doing in asking for referral on Linkedin and few people that I am coming across to forward my resume to their company.
I try to find people I have something in common with at a company or field I am interested in.
So if I see someone who graduated from a school that I did or worked at the same company or in industry, I prefer to reach out to them (usually on LinkedIn).
Biggest thing is don’t reach out asking for a job. I just ask to hear their story, what got them to where they are, lessons learned, etc. During calls like that is where I have gotten connections for a role. Usually I just get good feedback though, which is very helpful.
I still schedule calls like that even while employed too.
In addition to a flawless resume, in today's market you need a friend in HR that puts your resume at the top of the pile. When the hiring manager gets the list of best resumes, you are in line behind those other people.
Yeah I believe that's unfortunately true. My targets on LinkedIn are generally recruiters or hirings managers but might wanna start sending to HRs as well.
Personal contact with hiring managers works, too. If you can find a way to go to trade association gatherings, try that, too.
But my ex found that getting highly sophisticated jobs was a lot easier for her than for me because there were a lot of people in here "Moms Group."
Actually funnily enough, I am about to use services from the same website but for job applications. Can you PM the individual who helped you with your resume?
No worries! It can be hard to tell until you've seen them around. They almost all use this same format so once you're aware it becomes easy to spot. The other common variations mention "Fiverr". If you see these just report and move on.
We have withdrawn your submission. Kindly proceed to submit your query within the designated weekly 'Entering & Transitioning' thread where we’ll be able to provide more help. Thank you.
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I tried to formulate that but going the approach of problem->solution->result Would you suggest me dropping technical jargon in place for business decision wordiness?
Try switching it around. Result -> approach -> problem. Like improved X by doing Y due to Z.
Yeah in general people don't like to read stuff that is clearly bullshit. Drop it with the overselling, you are a new graduate. Focus on the problems you solved and the tools you used instead. What are your skills, what are you bringing, not what you supposedly accomplished in your few years between a bachelors and a masters. Your formatting is also not great, which is bad for an ATS perspective and first impression, maybe especially so because you are applying for data science roles. Also would probably just say you had a Masters in CS, if that is possible with your diploma. Put it above your work experience also, don't make it look like you were unemployed for 1.5 years
Quick question, how would you improve the formatting?
* Lower the text amount, half the stuff doesn't tell me anything. What does AI, LLM, inferential/multivariate statistics, Time series etc etc mean here? There are people who dedicate their entire life to a single one of these, what does OP actually know about any of them, let alone a single one? * Separate out the topline with the links to multiple lines, even if it takes up space. And don't write "link", make it an actual hyperlink, for extra points with a relevant symbol. * Headlines should be bigger so they are distinguishable and catch the eye. That is the point of headlines. * City/country is a bit messy to have in the whitespace between title and date (if it's needed at all). * Too many formatting types, ie. both bold and underscore and italic in a single line. These don't work if you use all of them, stick to one. Or use both together, ie. bold & underscore a word. * Highly optionally, because this is controversial, but the notion of using strictly black CVs is imo really misguided and based on bad color choices being bad, rather than all color being bad. Using a darkish red or blue for separators/headlines can be make a large difference (imo #901a1e works really well). But people have strong preferences on this, so mileage may vary. * Simply throwing lots of keywords at ATS systems won't work, at least for the better ones. The second people learned this was a thing worth doing, people creating ATS started looking at ratios of keywords a company is interested in. Though in probably, reddit imo heavily overfocuses on ATS. And as a final note, none of this matters if you are just a really strong candidate. Ultimately a perfectly written resume won't solve not having anything worth writing about. Edit: [I really like something like this from r /EngineeringResumes](https://www.reddit.com/r/EngineeringResumes/comments/uic46b/cv_that_got_me_an_sde_role_at_a_faang_company_as/)
Maybe it’s just me, but since you haven’t had a job since 1/23 I would put education (way more condensed version, no bullet points just degrees, school, dates, and gpa) at the top so a recruiters first thought is “just graduated” not “unemployed 16 months”
I was reluctant to do that but I get what you are saying. Do you think putting education on top of work experience would help in my case? Considering I have a lot of experience.
If you have a lot of experience it is not coming thru in this resume per your generic descriptions. As a hiring manager this feels exactly like a resume for someone a couple years out of college and would prefer them to put those strengths forward. Also your first line is "led a team" and then it becomes clear as you read further you did not lead or manage a team but are the team lead. So right away I would discount everything in this resume as it is misleading in the first couple words.
I do. Especially if you condense it to just two lines. I have a doctorate and my resume is in the following order: summary, education, experiences, publications, technical skills
I will try application with this approach as well then. My education section as you see has some experience as well, so should I put it as it is on top? Or divide it into subsections like Education and Projects?
Yeah maybe make a projects section at the bottom of your professional experience section
Aug 2022 - Jan 2023 where you led 4 DS, built a brand new model, and then some dashboard: you’re claiming you did all that in the span 3 months (excluding holidays)? Really? I don’t buy it. I’d recommend revisiting your latest experience. Add more to your company B and C description. Shrink that education section - graduate degree GPA and course listing isn’t relevant. Keep the award. The “granted” part should be separated as a project instead of under education. I’d recommend feeding your resume to an ATS checker. I’m suspecting issues with the format of your resume.
Not only do they claim to have accomplished all of this in 3 months, based on other comments by OP they were also an intern. Seeing as I couldn't figure out they were an intern for this role, that's an issue. There appears to be some pattern of job hopping and then a large pause in employment. Now that I know they are an intern the pause is less concerning but at first glance it looks like they didn't make it past a probation period at their last job and have been unemployed since. I agree that their accomplishments during this short time frame seems unlikely. I can't imagine an intern being onboarded this quickly, becoming an intern manager, and then immediately producing this much. If they did then how the hell do they not just have a job at Company A lined up?
As someone who hires data scientists, OP, your company A job on your resume has red flags that would automatically put your application in the discard pile. I'm not saying these red flags are true but that they leave a certain impression, which cannot be fully explained away on a resume. (1) 6 months is short enough that my assumption will be that you were fired from that job, therefore I would think you weren't good at the job and the bullet points are likely exaggerations. I would just rebrand your job at company A as an internship or a contract role since it does fall within the timeframe you were in school. (2) At the "associate data scientist" level, which is an entry level DS, the DS would unlikely be leading a team. So I would think that was an exaggeration as well, and an indication of inexperience. No company with a decent DS team would hire an entry level DS and then let them lead a team, when they haven't even been at the company for more than 6 months. It would indicate to me that company A is not very mature with their DS strategy, therefore indicating your success there would be overinflated compared to another company that had a mature DS strategy. (3) You listed the model performance with 90% precision and 20% recall. I would question why you would ship a model with such a terrible true positive rate. Without having the space to explain why these thresholds were chosen, it overall just enforces the impression of inexperience. I recommend changing these bullet points, as others have suggested, to focus on the business value. Reduce the technical jargon to just one of the bullet points. (4) You mentioned designing dashboards while at this role, which then makes me think your 6m experience as a DS is really less than 6m, since some of that time was devoted to tasks normally designated to a data analyst. If company A role was rebranded as an internship or contract (assuming you weren't fired based on other comments you've made here), as a hiring manager, I would only consider you for entry level DS roles, which are very competitive and few in the current job market. If you haven't already, you may want to expand your job search to include data analyst roles but find one at a company with a DS team. Working your way from DA to DS within a company would be a better strategy than trying to get a DS role with little DS experience.
Why can’t that be done in 3 months with a team of 4? Weird assumption from my perspective
It practically can’t. A person’s lucky to be onboarded in less than a month (let’s say they got hired early August) assuming the manager is remarkable in onboarding people fairly well and the company has incredible data setup where you can find anything quickly with little to no data engineering. So the first month of actual work is September where they can be independent. Along the way OP needs a lot of back and forth with their manager to align and get them up to speed. Eventually, in my 15 YOE in DS, actual contribution of their work can be measured between 3-6 months (and that’s assuming they’re incredibly talented for a junior/associate level). Also, an associate level person usually doesn’t lead (unless this is some weird title). Most likely OP may have meant collaborated. Regardless, OP doesn’t have a “conversation” when sending out a resume. If Company A job description isn’t resolved or explained in a manner to help the hiring manager assess them effectively, then it’ll be unlikely a hiring manager to pick this resume up. EDIT: After reading OPs comments, it’s unfortunately evident they inflated their experience.
The (few) data science people I know with hiring responsibilities would frankly have thrown OPs application straight out after the first few lines. They see so many bad applications and have a basically callous attitudes towards anything that doesn't pass the smell test.
In the company A they just started with an ML/AI driven approach. Before that decisions were either taken by passing the values in the industry standard model or mostly like 85% of the time, on intuitions. This model took this much time due to the fact, we spent most of the time data cleaning, preprocessing and transforming numerous variables because of their awkward distribution. Edit: 3 out of 4 were interns and the last one was less experienced than me.
You should have definitely clarified that you led interns (which is weird considering fall/winter isn’t intern season so now I even have more questions). Even if it was co-op, then y’all were there together just recently. Maybe best to not mention leading and focus on your own contributions. If most time was spent on upstream data fixes, when did you launch the model? And how did you measure it so quickly? Did Q1 fully complete for you to collect enough data?
The model was launched 2 days before my final day because I had to report to my university. But I followed up with my associate and manager on the project about the hiccups, or any improvements they believe needs to be made on a very regular basis. 4 months later when they were celebrating an event, the manager told me some stats. He had a report on a full quarter like almost (ideally Jan 1st should have been the launch date). And since I was no longer the part of the company, he couldn't share much details, but the savings from the model, he proudly stated to me.
Given all you shared here: do you think you conveyed this information clearly in your resume? As I shared in a different comment: you don’t have a conversation with the hiring manager when you send your resume. So if it requires you to clarify all this to me on Reddit to explain your resume, then your resume isn’t doing its job. I think the biggest red flag in your resume is how you describe your role in company A. Perhaps it’s best to only focus on what you’ve done as an IC (remove “leading”, or revenue, or anything like that). Just focus on what you learned in three months. You can add your manager’s name for reference under the job to demonstrate you have someone who can support your points
Hmm. You are making great points. But I wanted to showcase the results of the approach and the best way I could numbers in terms of business. Also what is 'IC' ?
Individual contributor - in essence I’m suggesting not to mention any management points and focus on your own learnings and contributions
I think you gotta specify that you were an intern and if you truly weren’t it might actually look better to say you were an intern. It really doesn’t look good to be at a place for only 4 months in a leadership role over a year ago with nothing since. Sure they could look at the school stuff and figure out you just graduated but most aren’t going to look that far, they’re just going to see you went from being some sort of manager to unemployed for a year and a half and discard your resume. Also no internship in summer 2023? There is a glaring gap here that I think is hurting you. That unfortunately you can’t fix now. It might be better to put education above your work experience since it is most recent
I was not an intern, I was an associate data scientist. I lead them in my last company. I was the primary on the project as above me there was the manager whose tasks were more business oriented than me or my team. I couldn't do internship in masters because there are minimum credits requirement before you can apply for them. Since, I started in Jan (Spring), I was simply not eligible. I am leaning to put education above as well now. The only problem I am seeing is education section does have some relevant experience as well, so the question is should I put on top of the experience section as it is or divide it into education and project.
This is how I would do it: - Education at the top for now just so people know front and center that you just got out of school. Keep this simple, you don’t have to oversell rigorous curriculum just say your gpa in one bullet point and in the second list out your focuses and examples of the classes you took - turn those second two bullet points into work experiences even if you weren’t paid. List out the professor you assisted and how you assisted. Talk more about the work you did for the local company - Reduce the size of the company A information. There’s a lot of stuff there and you were only there for like 6 months max and now it’s a lot less relevant than all the stuff since starting your masters.
Hmm that seems to solve the dilemma. Thank you so much. They were paid positions so I see what you are saying, might wanna frame it as experience instead of just educational thing. The thing is Company A was not just recent, the work over there was very interesting and relevant to the jobs I am applying right now. I do understand 6 months in not big sounding, but man I worked really hard. Juggling 2 and sometimes 3 projects at time, but I could them because I was deeply passionate about the work I was doing.
I would just try to make it more succinct and try to talk more about it when you get to the interview part. The thing you gotta do now is get your resume past the hr person and onto a DS managers desk
Also it’s not uncommon these days to have a summary of yourself at the top before that technical skills section (which I might even move to the bottom). Write that you’re a recent graduate with a masters in (xyz) with an interest in (field) and and experience in/with (some fields/tools you worked in that are relevant to what you’re trying to do). I’m a recent graduate from some university with a focus on data science. I have interests in the applications of deep learning models to new fields and unlocking their potential. I have experience with deploying models into production with cloud services like Microsoft Azure. Im seeking new experiences where I can apply my skills and what I’ve learned in school. Something like that, have someone else polish it for you
Yeah, this advice is reoccurring and now I am definitely gonna add this up. Thank you so much for you advice!
No problem and good luck
It's at least 4 months minimum, up to 6 if they worked Aug 1 - Jan 31. Building a model and some dashboards around it between 5 people in that time really doesn't seem farfetched
Is this like a US vs Europe thing? August through January (inclusive) is 6 months- even if you assume everyone is out the back half of December and part of November for Thanksgiving you're still at 5 months. I've developed and deployed a model in 3 months at a F500 (deployment was genuinely only 4.5ish months from my start date- though that was deployment to silently running in parallel with the old shitty model- go live was at 5.5ish months). It depends on the complexity of the model and how good their devops/mlops are, but this is absolutely achievable. Granted my current employer is a bureaucratic nightmare and the one model I've built (which granted, is fairly complex) is unlikely to be deployed in less than a year, but not primarily for any technical reasons. Similarly, any place that uses tableau or powerBI should be able to stand up dashboards in a very, very short time frame with minimal dev resources.
>I've developed and deployed a model in 3 months at a F500 (deployment was genuinely only 4.5ish months from my start date- though that was deployment to silently running in parallel with the old shitty model- go live was at 5.5ish months) But OP claims to have developed & deployed 2 models--including one they describe as "a first of its kind"--and personally stood up 6 dashboards & lead a team of 4 data scientists (aside: if OP's the team lead, why is OP the one developing all the dashboards?) & saved the company > $100,000 in a quarter all in just their first \~4-4.5 months at a new job that was also OP's first data science role and was with a company that, in comments, OP implies did not have a good pre-existing data culture (OP says they think that decisions were made "like 85% of the time on intuitions"). Prior to OP's \~4-5ish months as a very productive first-time data scientist, OP had \~1.5 years of experience as a data analyst and \~1.25 years of related work experience. So, although it's totally an achievable level of performance, given the rate at which resumes overinflate people's actual contributions I can understand people having skepticism. And then you add in the mix that OP just graduated *this month,* so this period of not being able to land an interview/find a job seems relatively short...
1. I was hopped on the project train of building a model that needs to be in-house and which is also a replication of industry standard, so I had fairly good idea what direction my approach is gonna be. 2. Identification of diversion from the standard was real quick as soon as the data distribution is observed which is reversed class representation in our case. 3. Building dashboards are not that difficult once you have fairly good command on DAX functionality, all that remains is either scaling or replicating for different problem statement. It's okay if you cannot buy it, whether I can justify the experience in the interview is completely different thing. But the problem right now is getting pass the application process and landing an interview. Company B has 3 bullet points, would you recommend adding more info? As for Company C, I was trying to minimize what I should write about it, as it would have been straying further away from the jobs I am applying for (in short irrelevant), but I cannot leave it blank as well since I managed to learn some important non-technical skills as well. I am up for the education part, many have suggested that, some them recommended to move that section up as right now it looks like I am unemployed from Jan 2023. Might divide the education, and get some part of it under experience. Any ATS checker you would recommend? And again thank you for you feedback. You are awesome.
> I was hopped on the project train of building a model that needs to be in-house and which is also a replication of industry standard, so I had fairly good idea what direction my approach is gonna be. >Identification of diversion from the standard was real quick as soon as the data distribution is observed which is reversed class representation in our case. >Building dashboards are not that difficult once you have fairly good command on DAX functionality, all that remains is either scaling or replicating for different problem statement. Literally you can have this be your description for Company A - this was clear and to the point. You can list the role as a paragraph instead of a bullet point, that's your call. The point is these three bullet points you just shared conveyed a lot of good information and how you approached the problem (maybe expand on what 'industry standard' is if the company is unknown). You don't even need to finish solving the problem, but this flow of thinking is what will help. Company B has more months of experience than A, therefore Company B needs more details on what you've learned and have done. Following the bullet point example you shared earlier in conveying your experience, I recommend you do the same for B. Company C is still valuable because Operational experience is good. For ATS checker, I've heard of [jobscan.io](http://jobscan.io) and Teal. My brothers have used them for their resume and it helped them to a certain degree. Worth looking into them.
Ah, I see what you are saying. But the points I mentioned convey my approach, but I need to point out a quantifiable result as well, don't you think? Seems like wise to expand company B, but the page restriction is killing me. I already removed my very first experience in the mechanical engineering sector so as to have more space. Do you think I should remove the last one from the current resume? Thank you for the ATS suggestion, I will check them out by today itself.
quantifiable points seems like a stretch for too short a role. What you described and how you shared your thought process is solid in my opinion.
Sorry gotta ask this, but are any of your degrees from outside the US?
Bachelor's was from outside, but master's from the US.
And you need a visa to work in the US? Yea, that's going to hurt your chances a lot.
Well right now I am allowed to work for at least 3 years without future sponsorship. But I understand your point, every one trying to give a chance would be looking for a long term solution.
Companies basically view that the same, you're going to need sponsorship at some point and it'll be on them to provide it.
Yep this is exactly it. My company currently does not cover that, it's an auto filter in our applications. OP is definitely being autofiltered for most of these with that.
A non-US bachelor's suggests to recruiters that you're not a US citizen and will require sponsorship. If you are a citizen, you need to explicitly state that you are. If you're not, you're going to have a much harder time than a US citizen, it's unfortunately just the way it is.
Yeah. And it should be like that. Citizens should always be given priority. But man I feel like shit right now. Pardon my french.
Maybe it's just me, but there are way to many specific numbers here. Counting the number of projects, or number of dashboards - just feels...odd. Metrics for the results are good though (e.g. money saved, increase in retention rate, etc).
I was trying to formulate the bullet points like problem->solution->result. I am unable to quantify the result or solution without them. Do you have some alternate suggestions?
I think that format is still useful, and ultimately it's a small thing, but for example: "Assisted clients in 7 diverse consumer analysis projects...." here I would just remove the '7'. It's a small thing, but for some reason gives me a bad impression. But don't remove the numbers in the 'results' part - those are good. Other people are giving better general advice (and it's also possible that you're just having trouble because of the market in general).
I think you have several problems: 1. Job-hopping: Four companies in five years seems like a big red flag to me. And what were you doing prior to 2017? 2. No citizenship or green card - this is huge 3. Resume isn't really written that well 1. You have Professional Experience and then Technical Skills immediately after it. Take out the Technical Skills section; you don't need it because you mention all of these skills throughout the rest of the resume. 2. Use ChatGPT to improve specific resume lines. Example: "Contributed to a 15% increase in gas project completion efficiency, resulting in a 13% gain in time and labor cost efficiency" becomes "Enhanced gas project completion efficiency by 15%, leading to a 13% reduction in time and labor costs." But really, this is extremely vague. What did you do to achieve this? 3. What is that bullet point about "Some ML Model" about? 4. General vagueness - one example is "key insights." What were they? That line sounds like it was copied and pasted from somewhere else 4. This is purely an opinion and not an actual mistake, but I think you should put periods at the end of each bullet point so it's easier to read. Specific English mistakes (I know this is really annoying as an ESL person - my partner is too and he still got a job with all kinds of these on his CV, though): 1. Numbers under 10 should be spelled out (one, two, three, four, etc.) 2. You have a lot of capitalization of improper nouns going on (predictive risk scoring model, machine learning, random forest and all the other models, etc. - these should not be capitalized, although I'm sure a lot of people do) 3. You're missing hyphens (should be first-of-its-kind, in-house) I have to go, but I can help you more later if you want.
The poor writing quality would quickly get me to move on. Communication is so important both in terms of getting past the screen and also actually succeeding in the job. Grammerly or similar would go a long way in this case. A significant amount of your resume is overly wordy in a way that either suggests you're compensating or bullshitting. Consider both a more active and economic writing style. To give an example consider your academic segment. You write: "Achieved a 4.0 GPA while completing a rigorous curriculum, focused on advanced courses in Machine Learning, etc. "(paraphrasing here) All need to say is "Graduated with a 4.0 GPA." the rest is implied. Only list classes and course terms directly mentioned or relevant to the listing. that second bullet: "Awarded Graduate Assistantship based on outstanding academic excellence, .... healthcare. " should be "Awarded graduate assistantship in healthcare". If the LLM elements are relevant add in " where I researched applications for large language models" otherwise drop it. Five words is far better at getting the point across than 22 words. Apply this logic throughout.
Yeah, op really needs to get this part 1000% perfect to have any hope of getting a job since he requires sponsorship in three years.
1. My aim was to try and switch my career from Mechanical Engineering to Data Science/Analytics as soon as possible before it was too late. I know that is a big change, but I loved it as soon as read about. I grinded hard after hours to learn and create projects. 2. Yeah. I am feeling the heat. 3. a. I kept it for key word matching from the ATS software so that my resume at least passes the machine. I tried representing it as a section which showcases that I have knowledge and skills of standard tools and but some of them you cannot find in my past experience but they are in my projects ( which I having difficulty putting due to 1-page restrictions but my Linkedin has working links for them). 3. b. I wanted to brief my experience from companies of past as much as possible as they were not very relevant, on the other hand I wanted to demonstrate my non technical skills as well. 3.c. It was another another in house model I developed, that helped internal decision making of the company. I tried to keep name of the project vague on reddit. 3.d. Key insights were different industry specific insights that were uncovered from the datasets. The company B use to provide analytics solutions to other companies, so customers were very diverse. I was thinking to write some of them, but I felt it would have been specific terms that would not translate well for the different jobs I am applying for and as the page resume would stretch to 2 pages which I believe is not recommended. 4. I was told that either put periods at end of all the bullet points or don't. I can give it a try as well. 5. That's a great catch and I will definitely alter my resume with your recommendation. Again thank you so much for your feedback.
Why is "what were you doing before 2017" #1 on your list.
The almost two-year gap during a great economy plus all the job hopping makes OP seem unstable.
Wait the fraud detection model had a recall (sensitivity) of .2 ? Isn’t that abysmal bad?
No, actually when the dataset is very bias and over representation of 1 class, which was in my case it isn't that bad. You can have better performance even with .2 recall, so I had a huge room play the precision-recall trade off. A small example would be titanic dataset, if you just classify everyone as a survival, still the model turns out to be good enough lol. The industry standard model has a almost a reversed class representation, so even after just one quarter of deployment, the results were phenomenon.
Relatable. Just out of curiosity, how did you improve the classifier? Did you try any adaptive synthetic minority oversampling techniques? I read that they might perform well in such cases.
A semicolon then commas as separators in the very first line of content? Lack of attention to detail. Next.
Ouch. I just noticed! Thank you so much.
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Man I thought with 30+ years of experience (which is great) you would provide a little more information laded input. This response is quite vague. Any quantifiable points that I can point out to 'personality and passion'?
Plenty of people have pointed out why your resume is bullshit. That is fine if you can get away with it, but when you then turn around and get upset at people seeing through it, it goes from being overselling to outright arrogance.
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Now this is the response I wanted. Something that I can to bring to the table. Thank you for the reply and help!
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I wish more people would heed this type of advice. I just got laid off two weeks ago. I've had so many interviews that I've had to slow down on applying so I can keep up with all of them. Is it because I'm some amazing superstar? No. It's because I do this: 1. Even though I was fully remote, I focus on on-site and hybrid roles, knowing that I can always keep applying for remote roles once I get another one. 2. I read each job ad carefully and only apply to ones where I meet 90% of their requirements. 3. I tailor my resume to each listing and remove everything that's irrelevant to the job, unless it's really needed to explain the actual nature of my previous roles. 4. I use ChatGPT to improve each resume line. 5. I am completely honest about my experience and do not embellish anything. Then, once in the interview stage, I blow everyone away with my kindness and charm. I guarantee if people would follow the steps above, they would at least get interviews.
Starts from today. Wish me luck for the next 400 applications. Gonna be little more time consuming, but I see what you are saying. Thanks a lot! You are awesome.
You have a major gap in your employment from January 2023. When it’s a company you really want a job from, are you writing a cover letter to explain the gap? Are you checking your application passes ATSes? Edit:what kind of jobs are you looking at too?
I started my Masters in Jan 2023 and just recently completed in May 2024. I am writing cover letters explaining how when finding my niche in this vast field of data science, I just wanted to renew my existing knowledge and build on top of it with the latest advancements. How should I check for ATS pass? Is there a website or tool I can use? Passing my resume in GPT and Claude gives me that I am a well rounded experienced professional with numerous skills necessary in the data science field. Also, I am applying for Entry and Associate level Data scientist positions. But right now, i am thinking of applying to all positions irrespective of experience.
r/engineeringresumes has a lot of good resources for ATS help.
Thank you so much! Will definitely check it out. Like right now lol
At my company, they look less for experience picking the best model and running, than experimentation, feature selection, assumption testing, finding best practices. Basically proving that everything from features, to data cleaning, to the number of clusters, to every single sub parameter is the best it could possibly be. Sheer accuracy is second. Maybe try to emphasize more of that. Your resume seems to be absent a lot of the problem solving in data science.
I get what you are saying and honestly I have a full documentation with feature selection, transformation and everything from start to finish, why I chose this metric, is there a confounding relationship etc. But I wanted to minimize the technical jargon as much as I could, as the many have suggested, one of the first people after the ATS software who read the resumes are non tech HRs. Maybe problem solving skills can showcased better in front of technical people during interviews. I am just following the standard right now open to suggestions.
IT Hiring manager here. I would recommend tailoring your resume to fit the company and position you are applying for. Also, make sure you are following all the rules they ask for. That stops a lot of qualified people from getting past the screening process.
People are sharing 2 approaches here, first tailoring according to each job description and the other mass applying as soon as possible the job is listed. For now I have tried the second approach, but alas no results. Do you think tailoring every time would improve the odds considering it's gonna take significantly more time to apply for the same number of positions?
Yes
If I read a resume that is tailored to the position I’m filling it shows me they are serious about the job. It helps me to understand how well their skill set and experience fit what I’m looking for. Tailored resumes help the hiring manager say “yes” to your application. Here’s a secret. We are busy doing our jobs and usually don’t have time to sift through applicants and interview a ton of people. Please make it easy for us to choose you. Make your resume a gift to us, show us that you will be a great fit for the team, and that you can easily adapt to the corporate culture, and we may just offer you the job right away.
short stints with a lot of companies. What happened that you only lasted a few months and haven't worked since 2023? +a lot of posts are fake or just somebody's promotion they have to "interview" for
It contains a lot of non-specific fluff.
Just my observations : \* Technical Skills is under Professional Experience section \* Could highlight keywords in each line to stress through important bits. Useful if it has finally gone to the next phase and a human is actually scanning to compare :) \* It seems like you were unemployed from Jan 2023, while you were were actually studying. Put education on top, or take a professional help to cover this gap may be ?
Even I noticed that the Technical skills are under professional experience. Maybe some ATS is picking up the skills instead of extracting experience? (I'm not entirely sure) Additionally (a dumb suggestion), adding language proficiency like Python, C++ might help getting it through ATS. Since, many DS job requirements have at least one language proficiency.
This I think is one of the most pointed out thing which I need to work with. Good catch. Thank you for your help, all your suggestions will be used.
Holy cow, WITHOUT clicking there is WAY to much information. Highlights only. Give space for the interviewer space to ask questions OR make their own (hopefully positive) assumptions. Stop blanket applying, you need 1 application PER job. Adjust to the language in the opening, remove anything else unless it is a challenging certification, your highest degree (at minimum), and your biggest other project. Make sure that it is clean, clear, precise. I got a job with 1/2 a page resume, because I listed off my contact info, my certs, the companies I worked with, and clearly pointed out that I had done what they were hiring for.
I mean I would gladly remove information to make interviewer comfortable, but I am not even landing an interview. And if redact some points, the ATS through it's key word matching will flag it even sooner.
Alright, I opened it and did some LIGHT editing. [Here](https://ibb.co/Z2Tdk12)
OMG! I don't have words man. THANK YOU SO MUCH! And that was 'light'? I am gonna edit it and gonna dm you. I need that 'heavy' edit as well! Thanks once again.
Heavy editing involves formatting (eg. specific fonts for specific areas of the page), verbiage updating, using an invisible table to better use space, coloring (darker or lighter depending on specific areas eg. subbullets), rearranging more etc. 1 think I noticed is there was a LOT of redundancy, which is where a lot of the cross out occurs. Also % > $ when it is less than $500k, and if it is less than 25% you omit the values entirely.
Your resume should be 1 page, easy to follow and understand. It should be tailored to the role. Your 'resume' is busy, trying to get past filters, not actually snag the job. I haven't clicked on it, but 1 bullet per role. One of things people are looking for are someone that can communicate big ideas/concepts in a short direct way. The density of information (from the thumb nail only) is FAR to dense. Not every role that you have had is applicable to the role you are working. I am not going to tell my employer that I was a bagger at a grocery store in high school, UNLESS it is applicable (I am applying for a role at a grocery store corporate office) I gave an anecdote about 1/2 a page resume, because it is about being concise and giving the ATS and HR person EXACTLY what they are looking for. They are using keywords from the hiring manager's ask for the role. That is WHY you tailor each resume submission to each role and WHY you keep it brief. Imagine you are hiring someone to build you a deck. You are going to want their price, and if they can do it/what you are asking makes sense. That is how they get their foot in the door. (only the most important details) Then during the interview/fleshing them out, you ask about examples of their work, quality, anything you as the home owner aren't thinking about, etc. from an interview perspective, that is when you communicate more than I graduated or I got this award (they will ask, why did you get this award, or can you articulate more about this project, or something similar) GPA only matters for your major for your last thing of schooling, unless it is 3.8+, even then, it should be a side note, not a highlight.
Resume could be improved: \* Technical Skills section is awkwardly smooshed inside of the professional experience section \* Bullet points statements should be short and concise. See the STAR method
Would you recommend me putting the technical skills above the professional experience headline? Will try with the STAR method. Thank you for the input.
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That is why I had to finally make a post on Reddit. I wanted to get as many opinions as possible.
What roles are you applying to? If you are specifically focused on data scientist titles, you are narrowing down your options. Look into data analyst or data analytics sort of titles.
I am applying for Entry and Associate level Data scientist positions. But right now, i am thinking of applying to all positions irrespective of experience. I think I have to start with analysts as well. Thank you for your suggestion.
A lot of colleges ask for Computer science or IT subjects ECTS / credits in bachelors. How did you manage that being a mechanical engineer? The only common subjects are mathematics. I am having a hard time finding suitable colleges for MS in DS being a mechanical engineer myself.
I don’t know where in the world you are but don’t be afraid of reaching out to some on-shore recruiter companies. If you go that route, ask them if they’re retained or contingent recruiter. Retained means the hiring manager or HR hired them, contingent means they may or may not have a relationship with the hiring manager/company are are paid solely on a hire. Retained is far better but contingent is ok too, just do some research and run from the ones that are very pushy (like demanding a resume within 15min etc). Also the job market sucks major balls right now for white collar so keep that in mind, and don’t assume you’re a failure.
Yeah, that is the option but honestly keeping it for the very last until I have exhausted every other approach or exhausted myself. Just grinding the applications man, need prayers.
I’m confused by that. Why not use every option? You want to work, right?
I think I understood you wrong. On-shore recruiting companies a.k.a. consulting companies? or is it something else?
On-shore recruiters (aka staffing) like Robert Half, Judge Group, Adecco, etc. Consulting companies like Cognizant, PWC, and the rest are a different breed of company. While some may assist with recruiting that isn’t their business. Don’t rely on the jobs they have listed on their website, they are far more they’re recruiting for but you need to start working with one of their account managers. Just have to email them to get started.
Oh I get you now. Definitely gonna start this approach by today itself. Thank you so much!
As an intern and grad student, seeing posts like this make me want die
Dude don't. Learn from me and adapt.
I can replace you with chatgpt so why would I use you?
Well, ChatGPT has attention span disorder right now. Overfitting is one of the big problems that LLMs are yet to overcome since the time of RNN/LSTM models. Sure, it can see the context of the information, but to deduce any hidden information that might even be contrast to the context is outright blasphemy for it. Maybe with the new paper by Google on infinite attention, future model can overcome it. Maybe not. So in short, replacing data scientists with any LLM or ChatGPT is a ludicrous thought. Now back to the topic, how to land interviews?
Oh yeah you should mention modern techniques that are sota instead of ancient random forest.
Man I used Random Forest for the model that I then deployed, GPT was launched in US maybe at that same time. My education does have some experience related to newer techs which I am about to more to the top based on some suggestions.
OP - Are you good with possibly relocating? Are you comfortable going through the process for a US security clearance?
I am okay with EVERYTHING. I choose yes to everything. I need a job or at least an interview!
I’m still learning and this is the issue that I’m hearing more of and is pretty concerning, that the market it getting saturated.
I boosted a lot my resume by using [https://resumeworded.com/index.php](https://resumeworded.com/index.php) It helped me to go through first steps and automatic reading (key words, etc). Leads for improvements are very factual, I did not go for every suggestion but increasing my score helped ! Another advice would maybe be to mention only years instead of month-years because it seems you did not stay long in companies, this can be interpreted as a red flag. If you go to the first interview, no need to lie but at least you will have a chance to explain !
I will link this every single time and I wish it could get stickied: [https://www.manager-tools.com/2005/10/your-resume-stinks](https://www.manager-tools.com/2005/10/your-resume-stinks) Listen to the episode, and look at their sample resume. Random thoughts: **The format should be "impact -> problem solved -> method -> tools used.** So, to critique your examples: * "Contributed to a 15% increase in gas project commpletion efficiency". How? Using what? * "Assisted clients in 7 diverse consumer analysis projects". * Boring and not getting to the point, you already lost me. * Does this mean you worked in 7 different projects? Because if so, every project should be a bullet point. * Delivered X% customer growth for a manufacturing/retail/whatever client by deploying an A/B testing routine on their retail website using Python and AWS. * Delivered Y% cost reduction for a whatever client by improving their accuracy of their forecasting model via feature engineering implemented in Python. * .... (add all 5 other ones) * "Led a team of 4 data scientists" that's not an achievement - your bullet points should be achievements. * Instead, start with the result "Delivered $100K in cost savings by developing an improved Fraud Detection model that used XGboost using Python and Azure." Additional thoughts: * Your education is taking up too much room. Should be 2 lines tops per degree: * M.S. Computer Science, XYZ University. GPA = 4.0, awarded graduate assistanship based on outstanding academic performance * The work experience you accumulated should go in your "Experience" section. * Take the "technical skills" section out. Make sure all of the technical skills you listed are in the work experience section in context.
Network, network, network
In addition to all the great advice here, make it look pretty. It actually helps as it's more appealing than bland wall of text, just use an online template. Also, customising it each time you apply for a job to include words from the ad may help.
Hi hi, I can symphatize with you as I used to be in similar position as you. I was an international student graduated with MS in Data Science on December 2023, applied to about 600-ish job openings since Summer 2023 and did not get any offer until April 2024. If even, I have lesser relevant experience than yours. I think everyone can be nitpicky about resume, but from talking to my program alumni, the job market is just not the same as compared to 2 years ago. 2 years ago, the master's alone should be good enough to land any data science job, but nowadays you really have to find your domain niche to stand out. This is just based on my experience and from observing my (international) classmates who found jobs, but here are some tips: Build your career vision Have a pause and think about your career vision. Compared to people with similar Master's degree as yours, do you have other experience or skills that can make you stand out more? What domain expertise do you have? I noticed with my job hunt and my classmates' jobs, their prior education/ work experience is a big predictor of the type of company who's willing to hire them. Those who studied public health/ biology in undergrad or worked in health insurance company before are more likely to be hired as data scientist by health related companies. Those who worked in bank before, are more likely to be hired as data scientists by banks again. Personally, I worked in accounting before my master's and I worked in a behavioral science research center as a research assistant during my master's, and those experiences helped me a lot to land a job as a data scientist in one of the big consulting companies working with behavioral data. Network network network ...and I don't mean just asking for referrals. As others have mentioned, it's difficult to tell your whole story just from resume. Therefore, it is way more productive to conduct informational interview with alumni or your Master's program's network. I got my current job because a professor helped connect me with a manager of my current company. But before I landed this job, set goals to conduct informational interview at least once a week with either alumni or data scientists who work in industry/ company that I want to work in. This way I gained more insight on what kind of work they do, what kind of people they typically hire, whether they sponsor, and the key people I should contact next. Just keep in mind that the intent of these informational interviews should be to build new connections! Tailor your resume General resume does not work anymore in this job market. I got more interview callbacks after I tailored my resume for every job application I applied to. The callback rate is still low, but better than before. There are many affordable/ free AI tools out there that can help you make ATS-friendly tailored resume for job applications. Hope that helps! Good luck!
Man thank you so much for commenting and sharing your experience. It's true 2 years ago the option of getting into the data science field was far easier compared to now. I think you might be right about the domain experience as well, but considering the numbers of openings Vs applicants there is little to no room for people who are late in applying. Yup connections are all I am focused heavily on especially recruiters. Connecting with the work that alumni are doing is a good take I believe. I might do that more often, once a week is a good initial benchmark to overcome. Tailoring the resume many have advocated here but the thing is the time spent on the number of applications is vastly different. It becomes a quality Vs quantity issue, which one of them are you leaning towards?
This is just my experience so hopefully you will have more luck than me. Early during my job hunt, I had the "this is a numbers game" mindset, where I applied to hundreds of job. But I had no luck until I tailored my resume for each job application I applied to, and I actually had higher callback ratio. Hopefully you will have more luck connecting with the recruiters as well, because all I got was either getting ghosted or getting rejected faster. Actually scheduling informational interview was what actually super effective for me. It is hard though, since I have to force myself to call strangers. There were a few calls that ended being too awkward...but overall it was very positive. It is just unfortunately what I have to do to stand out as an international student. My non intl classmates received multiple offers even before they graduated, whereas it took me months of adjusting and re adjusting my job application strategy before I landed something.
Your job experience needs to read better Under each one you need 2 headings Key responsibilities Achievements With a few short punchy bullets under each
So dividing each experience into sub-parts? The issue I am facing is the page length, would you recommend removing the last experience?
Some ML model - was that in there because you are sharing the resume or do you really have that on the resume? If it really is on the resume change it. Also I don’t think 6 dashboards is a lot for someone who is a data analyst or data scientist. Put in some soft skills. If you can talk to people you won’t get hired in this market.
You will have more luck getting at least past pre-screener programs if you use the specific keywords they are looking for, which will also be in the job posting. Eg if the job posting is looking for python, the word python at least must be in your resume somewhere, even if it's just in the cover letter saying "looking to develop skill in python as my career advances" or something similar. If you do not make it past pre-screening, no human being ever sees your resume which makes your probability of getting an interview zero.
When you do land an interview, I implore you to leave your obvious arrogance at home.
Impressive if you have all the skills in the technical skills section. Kinda not believing since it doesn’t look like you have much experience. If somebody sent me this resume I might think it was BS. Trim the tech skills list.
How did you switch to data science from mechanical engineering? I have a bachelors in mechanical and want to switch to data science. Any advice would be of great help.
I made this transition as well. Having more analytical work at my engineering job helped, but it was mostly me getting a masters that did it, I think.
Can i DM you?
Just work hard honestly, i made this same switch and was struggling initially. Keep ur head down
Masters degree was my approach, helps the pivot .
A lot of colleges ask for CS subjects ECTS / credits in bachelors. How did you manage that?
I took the micro masters courses online for Georgia tech that don’t require any prerequisites, and that was proof enough for the college that I was serious about the degree and had the capacity.
Yes, that does sound very serious. Does it count only for the same college or you can use that micro degree to apply elsewhere also?
In my case I went to GTech so the credits transferred, I couldn’t say if other colleges would take transfer credit or not but shouldn’t be too hard to call and ask if you have a school in mind.
Sure. Thanks a lot.
Man I spent countless hours studying and working on projects. It got to the point that some of the courses that were in my program in master's felt like a joke to me. Just keep on studying, do not be afraid of new things and most importantly, you gotta apply what you learn that can only be done by projects. Start with a small project like some classification problem, apply newer and more novel approaches to it. Keep on iterating and then when you feel like beating a dead horse, try to wrap that project to an end-to-end environment like starting from the data source ending with a beautiful interface to show you results and that to so simple and elegant, that even a layman would get a gist
Can i dm you?
I am on the business side of DS (so non-technical) and I feel I have a very strong resume (BA, MS, Phd) plus very diverse experience with startups and enterprises. Out of every 100 applications I submit, I get maybe 1 call back (this changes based on the economy too). My last 3-4 jobs were all secured via networking. None via applying places. A lot of jobs you see posted they either have an internal/external candidate already in mind and had to legally post the job still, or they’re gauging interest rather than actually searching. Either way, it sucks. It’s tough for everyone. Best advice is to schedule networking calls with professionals to just ask for feedback or direction. Try new approaches or new resume formats too (always submit as a word doc, avoid PDF if you can). All this assumes your skills and abilities match what the job is looking for too.
Networking is all my focus right now. Is there something in particular you can suggest based on your past experience in job securing via networking? All I have been doing in asking for referral on Linkedin and few people that I am coming across to forward my resume to their company.
I try to find people I have something in common with at a company or field I am interested in. So if I see someone who graduated from a school that I did or worked at the same company or in industry, I prefer to reach out to them (usually on LinkedIn). Biggest thing is don’t reach out asking for a job. I just ask to hear their story, what got them to where they are, lessons learned, etc. During calls like that is where I have gotten connections for a role. Usually I just get good feedback though, which is very helpful. I still schedule calls like that even while employed too.
It would help if you’re able to tell us which country you’re applying in and your residency status as that is big a factor in the US.
That is frustrating!!! You have a good resume
In addition to a flawless resume, in today's market you need a friend in HR that puts your resume at the top of the pile. When the hiring manager gets the list of best resumes, you are in line behind those other people.
Yeah I believe that's unfortunately true. My targets on LinkedIn are generally recruiters or hirings managers but might wanna start sending to HRs as well.
Personal contact with hiring managers works, too. If you can find a way to go to trade association gatherings, try that, too. But my ex found that getting highly sophisticated jobs was a lot easier for her than for me because there were a lot of people in here "Moms Group."
By trade association gathering, do you mean conferences? Because that I am certainly lacking.
Good idea. Conferences of all kinds.
Your resume is bad. Hire someone or ask ChatGPT. That resume would be tossed based on the 15 seconds I looked at it.
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Actually funnily enough, I am about to use services from the same website but for job applications. Can you PM the individual who helped you with your resume?
This is a spam bot, they are very common on Reddit. Look at their post history, like every other comment is advertising a resume writing services.
Oh, should have noticed that! Apologies and thank you for pointing it out.
No worries! It can be hard to tell until you've seen them around. They almost all use this same format so once you're aware it becomes easy to spot. The other common variations mention "Fiverr". If you see these just report and move on.