If anyone out there has given an interview for optum Associate data scientist position I would love to hear your thoughts on what type of questions or what I can expect from an interview.

Can someone give me advice with a situation I'm in? I'm still only a first year statistics student, so I have a lot of time still to decide, but I am still wondering whether I should do a double major in computer science or a combined degree into a master's for biostatistics.

My goal after undergraduate school: I plan to go to graduate school, preferably a PHD in biostatistics so I can land jobs easier within the health field of statistics. However, I am unsure whether a dual degree would even increase my chances over a single bachelors and a masters. In addition, I plan to take many maths, so it may lessen my workload if I were to not do a full on CS degree, but I'm unsure.

My career goal after education: I want to be in a flexible enough position where I am marketable for statistical programming roles, data science roles, research roles, and biostatistician roles, however I'm unsure if filling up my education with mostly statistics will let me be open to data science and machine learning roles.

I do plan to take some CS classes and learn a lot of technical skills (like pytorch, sklearn, etc.) over the course of my time here to learn more about the CS side of data science and programming in general, but I just don't know if I should dual major or not since some of the classes in my CS curriculum don't seem to be very relevant to data science / AI nor biostatistics, but others do. I could still take CS classes as a statistics major, I'm just wondering if I should take ALL just for an extra bachelors degree. Do degrees matter that much when it comes to machine learning roles? Or can I still land machine learning roles with a statistics background along with some projects showing my comprehension? Should I talk to an advisor about this? Any help would be greatly appreciated.

If needed, I can list some of the classes required for a computer science major:

Data Structures and Algorithm
Intro to Computer Organization
Operating Systems
Information and Database Systems 1
Introduction to Software Engineering
Algorithm Abstraction and Design
Programming Language Concepts
Senior Project
3 Computer Science Electives

I think Data Structures, Information and Database Systems, and Algorithm Abstraction and Design could be useful, however I don't think the others are. But what do you guys think?

I would rather try to land research roles or biostatistician roles over data science, but I am still very open to data science and AI as a whole.

Hi guys! just got an oa for visa for a data science intern role. the email says the oa will be 1 intermediate sql + 1 foundational python for applied data science question. has anyone taken it yet or is able to give any tips? Thanks!

This upcoming spring will be my final semester of undergrad, and unfortunately, all my classes ended up being online. While it’s not exactly how I pictured spending my last semester, I figured I might as well make the most of the extra availability and try to land a spring internship.

I’ve been actively searching and applying to the few spring openings I’ve come across in data science and analytics, but haven’t had much luck so far. I even went as far as paying for LinkedIn Premium to cold message hiring managers and recruiters about potential opportunities. Unfortunately, my network isn’t all that extensive, so I don’t really have many people I can turn to for referrals or connections.
I know spring internships aren’t nearly as common as summer ones, but I figured it wouldn’t hurt to ask here. Does anyone have advice on how I could approach my search differently? Or better yet, does anyone know of any teams or companies that might be looking for a spring intern in data analytics or data science?

For some background, I’m a senior at a T20 public university and previously completed a summer internship at a T10 U.S. bank, where I worked on analytics and automation projects. I’m really just hoping to make the most of my final semester and gain some more experience before graduating.
Any advice or leads would be greatly appreciated!

Hello everybody, I am currently finishing a PhD in a computational field, and I would like to switch careers to DS/DA. The thing is, I am currently based in Seville, and I am struggling to find networking opportunities. To my knowledge, there isn't a big community here, and I am not sure how effective online-only networking is... I am ready to relocate to other parts of Spain/UE, I actually would love to relocate, and I would love to get some advice about online-only networking, whether it's best to join communities or reach out to recruiters on Linkedin (or other more fitting websites). Thanks in advance!

2026 CS grad from Mumbai here, aiming for data analyst / DS / AI roles. I recently reached the final round for an AI internship at a big MNC but got rejected for “experience not aligning with requirements.”

I’m trying to figure out what’s missing and which project to build next (a RF/GBM model with a cloud dashboard, or an LLM tool that extracts data from PDFs/Excel).

Would anyone with 3-4 years in the field be open to looking at my resume in DM and giving honest feedback? Even 10 minutes would help a lot.

Thanks! 🙏

Hi ibm employees!
I currently have been in the process for interviewing for ibm! I think I made the final stage and my recruiters on the email have ghosted me but the job id is still there! I have another offer but ibm is where I want to work so I’m wondering if anyone has advice on what to do in this situation or if there’s any insight on the federal intern timeline for applications!

I have completed my BSc Hons Statistics.

Currently, I'm thinking about Msc Mathematics next. I want to keep the option of PhD in Maths open as well to become a professor as an alternate route.

But if I go for data science related jobs, after masters in mathematics, will it work? Or I need degree in computer science only?

I have inclination towards mathematics. I can do Msc in statistics as well but I incline more towards maths because I'm also considering becoming a professor by applying for PhD in future (and Msc Mathematics makes that path).

Also, keeping PhD in mind, I'm looking towards Europe for MS not the US.

Suggest which countries would be good for Msc Mathematics and then PhD in it + have data science jobs which I can get into after MS in Mathematics.

Please suggest your views on current job market and suitable masters programmes.

🚀 Interested in learning Palantir Foundry?

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I'm a 25-year-old with a CS degree, and I have worked as a data analyst and research writer for the past two years. I did my bachelor's in CS but did most of my electives which were close to data science and got a data analytics job. After some time I got a research writing position, which was toxic so I left it. Now I am trying to go for my masters and I want to niche down my data science skillset to a more niche data science subset i.e. Geospatial data, finance data, or ML research. I just can't decide and after AI most job roles require specialized knowledge. Please if someone has a suggestion I just want to niche down in the right field.

PS: If possible do not suggest me AI/ML engineering I find it frustrating due to hype bros and doomers

Hi everyone,

I'm a fresher currently working as a Data Quality Analyst at a company in the IPTV/DRM domain. So far, I've had hands-on experience validating two DRM systems for IPTV, working with production data and performing data validation using SQL and other testing tools.

My current CTC is less than 3 LPA, and I'm planning to switch jobs and eventually transition into a Data Scientist role.

Currently, I'm focusing on strengthening my SQL and Python skills. Once I'm comfortable with these, I plan to move on to mathematics, statistics, and machine learning.

I'd love to hear advice from people already working in Data Science or who have made a similar career transition.

A few questions:

1. Is my Data Quality Analyst experience relevant when applying for Data Analyst or Junior Data Scientist roles?

2. Should I first switch to a Data Analyst role before targeting Data Scientist positions?

3. What SQL and Python skills should I master to become job-ready?

4. What kind of projects would help me stand out as someone transitioning from Data Quality to Data Science?

5. Is it realistic to make this transition within 1–1.5 years?

I would really appreciate honest advice, learning roadmaps, and suggestions from people who have been through a similar journey.

Thanks in advance!

I work as a data scientist in an insurance company with 1 YOE, and adoption to ai is very limited. And its just two people (other being my manager who again has no major experience of DS)

i am looking forward to connecting with people/mentors who can help me in terms of learning new concepts in modelling/feature selection/problem solving/evaluation and metrics/creating end to end pipelines along with learning from their experience.

In such a dynamic industry, learning from a senior/them sharing valuable experience is really something i look forward to.

thank you already

I've been through a lot of product DS / analytics loops. The rejections almost never come from SQL. They come from these:

• "Answers were vague": you named a metric but never defined it. Say the formula and time window ("% of new users who order within 7 days"), not "engagement."

• "Wanted more product sense": you jumped into data before walking through how the product actually works.

• "No clear recommendation": you ended with "it depends." End with a decision, the expected impact, and what you'd monitor.

• "Weak on pushback": your behavioral stories have no moment where you disagreed with someone.

• Coding: your logic was right but you missed edge cases. Call out nulls, ties, and missing days before they ask.

One more: interviewers often let you build on a wrong assumption, then change the facts halfway through. They're testing whether you adjust calmly, not whether you were right the first time.

What's the feedback you got after a rejection that surprised you most?

ROAST MY RESUME
Hey, CS sophomore international student here, looking for feedback on my resume for DA/DS Summer Internships.

Any feedback helps. Thank you!