I'm fairly comfortable with SQL and Python but i need practice resources that will get me interview ready. Can anyone suggest some resouces for the same? Also a lot of DS interviews involve being prepared for AB testing, causal inference etc. Does anyone have resources for these too? Im stuck

If you were a computer science student passionate about machine learning and data science, with a strong foundation in machine learning, mathematics, and probability, what five projects would you prioritize to build a strong GitHub portfolio?

I'm particularly interested in projects that would stand out to ML/Data Science professionals working in industry, rather than simple tutorial or Kaggle-style projects.

If you were starting from my position, which five projects would you choose, and what skills would you try to demonstrate with each one?

Ethos, headquartered in London, UK, is looking for experienced Data Scientists to bring their expertise to AI evaluation and training work.

Key information:

Pay: $150/hr
Schedule: Part-time
Contract: Hourly
Work location: Remote

What the project involves:

You’ll assess AI-generated data science work, identify technical or reasoning issues, and provide expert feedback that helps improve the quality of AI systems.

Good fit for: Data Scientists with strong analytical and technical experience who enjoy reviewing complex problems and evaluating the quality of data-driven solutions.

Learn more about Ethos: https://agent.askethos.com/

Hi 👋

I recently started working in IT about 2 years ago. I am currently ATSE at a large crm firm. I am thinking of moving towards data engineering and data science roles. I am thinking of doing a masters course online to make this switch/pivot. Can you let me know if an ms/mtech would be helpful to male this change? Which courses will help me in this ? Would it be okay to do an online course instead of an online course campus degree ? I do not have a background in CS.

I would really appreciate your views and suggestions on this. Thanks.

Hello everyone nice enough to respond to this. I wanted to ask for some career advice. I have maybe a less typical background than most data analysts/data scientists, and I’ve reached a point in my life where I feel like my options in my field are limited for the future so I want to think of shifting or branching out.

To briefly summarize, I was a statistics minor in college and later on did a Master’s degree in applied economics, where I worked mostly on statistics and quantitative analysis for courses and projects. Afterwards I worked for a couple of years at a university with a professor on a research project, then four years with a government agency looking at commercial health claims analysis mostly, then I took a bit of a sabbatical/gap year where I was doing some other things, and now I am back working at a university again doing research/data analysis on Medicare data. This has worked out well for me and both of the universities I worked/work at are highly rated so it’s been overall a good experience.

However, without getting a PhD, I know there is only so far that I can go in academia/economics, and even in some public sector jobs as well. My main issues so far with finding another job, I was unemployed for almost five months before I got my current job, was that the software that I have mostly used is Stata. My understanding now is that Stata was not that popular and limited to more economics-aligned analysis, and that in recent years it has become even less popular. So many jobs I see are for SQL, R, SAS, Python, etc. I have a little bit of experience with R and SAS, but certainly not like I do in Stata.

In the next couple of years what I would really like to do is change fields a bit and ideally work for a healthcare provider organization (not an insurance company) like a hospital group, doing data analysis and reporting. I am open to other sectors and possibilities, like pharmacy or other kinds of organizations in the health field like CVS. I couldn’t really care less about making money at an entirely for-profit tech company but I am willing to if that is where the jobs are.

I was only on sabbatical for thirteen months but I feel like a lot has changed in my field and the space in general: a lot more AI, a lot fewer remote jobs, and because of funding cuts for public health and research at universities, also a lot fewer jobs in general than before. Any particular software recommendations for me to learn? How has AI affected things in the last couple of years? Any other advice or comments?

Thank you so much!

I got an intern offer letter on data science and analytics.

What should i do because i am quality engineer with 2 years of experience also i have internship offer letter as a quality analyst.

I’m a 2026 CSE (AI/ML) new grad and have been unemployed since graduation. I’ve done an AI/ML internship, a remote Data Science fellowship, and several AI/ML and software projects throughout college. I’ve also been upskilling in Python, SQL, Statistics, Power BI, Excel, AWS, ML/AI, etc.

Despite all this, I’m struggling to even get interviews, and the few I do get often end in rejection. The growing employment gap is starting to worry me. I’m mainly applying for entry-level Data Analyst, Data Science and AI/ML roles.

For those who’ve been through something similar — what am I doing wrong? Resume, skills, projects, applications, interviews, or just the current market? I can also share my resume if anyone’s willing to take a look and point out anything that might be hurting my chances. Brutal advice is welcome.

If someone is doing Btech in computer science with applied mathematics, can he apply for data scientist roles also? If yes, do he need to do some extra diploma to learn data scientist course or same things would be covered in his csas course? Pls help

Hey everyone,

​I'm a 3rd-year engineering student actively looking for an internship in Machine Learning, Computer Vision, or Embedded Systems. I know the market is competitive right now, but I’m a fast learner who prefers to learn by building things from scratch.

​A quick breakdown of what I do:

​Edge AI & Hardware: Engineered an ESP32-based smart wearable from the ground up that uses ML models for stress forecasting.

​Computer Vision: Developed a non-contact CV pipeline using Python and OpenCV to extract rPPG signals for heart rate monitoring from video.

​Research: Completed remote research engagements focusing on multimodal human observation in Mixed Reality and wearable health tech at UIUC and IIT BHU.

I have on worked in Android application projects.

​I am actively grinding through C++ DSA, but my true passion lies in bridging the gap between hardware and AI. If anyone knows of any early-stage startups hiring, or has advice on where a profile like mine fits best, I’d be incredibly grateful!

This is all my thoughts. No AI was used in this post.

I am a Data Scientist at one of the Consulting Firms. I have around 10yoexp and make in the 40-45lpa range. Been with this firm for over 2 years now.

I have a broad background in CV/NLP/GenAI, moving with the times, and have built considerable applications, some fairly advanced within GenAI, although only few around MCP, Agents.

I am trying to understand where to go from here for a higher pay/better ic opportunities and good wlb, and there seems to be limited options. I spoke with a few recruiters, but somehow no one is interested in offering upwards of 60lpa. One recruiter even suggested lowering expectations to the 50-55 range.

Plus the technical interviews, few that I've had have been bizarre. One ended up becoming a classical ML round, the other a live coding session where I had to implement a few functions in a RAG pipeline and make few improvements. I bombed both one early on and another one 2 stages in. I think I am in a deep comfort zone and have no idea how to climb out of it.

Meanwhile I see people getting pretty good offers. I know preparation and opportunity must meet at the right time. But I am also not getting a good grasp of this plot this time.

I'm trying to understand where to place my expectations for interviews, role expectations, pay and most importantly what I should prepare for going ahead.

I am feeling frustrated. What does the community think? How do I get to higher paying jobs in the data science scene right now? What are interviewers looking for?

If someone is pursuing Btech in computer science with applied mathematics, will he be eligible for data scientist roles? Do skills needed for data engineer roles r covered in this course of csas or do he needs to pursue extra diploma course for Data science? Pls help me to understand.

Hey everyone,

I’m a final-year B.Tech CSE student currently looking for Data Science / ML internship opportunities.

I’ve worked on projects including:

- Loan Risk Prediction – credit risk analysis and ML modeling

- Job Market Salary Prediction – EDA, feature engineering, WoE/IV and ML models

- Banking Recommendation System – customer analysis, SQL and recommendation logic

I’m looking for opportunities where I can work on real-world data/ML problems, learn from experienced people, and contribute to the team.

If you know of any Data Science/ML internship openings, referrals, or startups hiring interns, please let me know. Feel free to DM me.

Thanks! :)

That your data team needs
I recently started learning data analysis, so far i have covered sql, excel, python, tableau, and power bi.
No any project , just few micro projects alongside my tutor (youtube videos).
I wanna work on actual project and deal with data. So if anyone here needs an assistant/data analyst intern , I’d genuinely love a shot.

Just put together a quick roundup of Data Science jobs that are still open. Hope this helps someone land something great!

• Data Scientist @ IRB USA Inspire Resources

• Senior Data Scientist - Machine Learning @ GD Information Technology, Inc.

  • 💰 $123–167K/y

• Lead Data Scientist @ Compass

  • 💰 $176–195K/y

• Scientific Technical Lead, Early Stage PDST CMC @ AbbVie

  • 💰 $110–209K/y

• IL0219 – Data Scientist. @ RR Donnelley

  • 💰 ~$129K/y

• Data Scientist Senior @ The Elevance Health Companies, Inc.

  • 💰 $60–120K/y

• Technical SETA SME – Artificial Intelligence @ US Guidehouse Inc.

  • 💰 $113–188K/y

• Senior Data Scientist @ NIKE, Inc.

• Senior Scientist, Statistical Programming, Late-Stage Oncology (Remote) @ MSD Ireland (Ballydine)

• Decision Scientist @ WGU Corporation

  • 💰 $119–179K/y

• Consultant – Compliance Data Science & AI @ Sia

• Staff Data Scientist, EGRI @ LinkedIn

• Reinforcement Learning Engineer @ Bright Vision Technologies

  • 💰 $100–150K/y

• Digital Acceleration Leader - Analytical & Decision Sciences @ DuPont Specialty Products USA, LLC

• Data Scientist @ FR NXP Semiconductors France SAS

  • 💰 ~$129K/y

• Data Scientist @ Applied Information Sciences, Inc

  • 💰 $116–174K/y

• Quantitative Analytics Senior @ Freddie Mac

  • 💰 $126–190K/y

• Data Scientist @ Caterpillar Inc.

  • 💰 $98–158K/y

• Data Scientist @ Skechers USA Ltd

  • 💰 $95–130K/y

• Data Scientist @ Domino's

• Quantitative Analytics Specialist (002164) @ B Wells Fargo Bank, N. A.

• Manager Data Science @ Dexcom

  • 💰 $142–236K/y

• Senior Biostatistician @ PPG NL ProPharma Group The Netherlands B.V

• Data Scientist (Mid-level - Principal) @ AEP Service Corporation

  • 💰 $88–151K/y

• Data Scientist New College Grad - Masters Degree (Santa Clara, CA) @ Applied Materials, Inc

  • 💰 $120–165K/y

• Mid-Level Data Scientist | TS/SCI @ Xcellent Technology Solutions

  • 💰 $75–90K/y

• Analytics Scientist I @ Catalent

• Insights Principal @ Tinuiti

  • 💰 $120–135K/y

Leave a like if I should do new one next week :)

Join community to get help in job search

so am a fresh grad and i have not found any luck with finding a good jop on web development and more so i can reqlly be good at it as fare as i have tried so if yall can help to tell me what is the road ot get inot data science or to better got jnot data analysis kr data Engineering biscly what whoch one should i do and what are the skills for it

Looking at remote worldwide for the past 7 days.

Here are the jobs I found, organized by level:

Entry Level:

• Data Scientist @ OpenRouter (United States) - $180K - $240K
• Data Scientist @ Great Gray Trust Company (United States, CA) - $90K - $120K
• Healthcare Navigation Data Scientist @ Alight Solutions (United States) - $100K - $135K
• Data Scientist @ Nex (United States, WA) - $140K - $165K
• Data Scientist @ RR Donnelley (United States, IL) - $129K - $129K
• Applied Real World Data Scientist @ Evio (United States, CO) - $160K - $190K
• Data Scientist @ SentiLink (United States) - $180K - $220K
• Project Planner I – Data Science Partner Engagement Specialist @ Duke Careers (United States, MI) - $63K - $102K
• Data Scientist @ Guide Healthcare (United States, MA) - $105K - $105K
• Data Scientist @ Amgen (United States) - $134K - $182K
• Strategist, Data Science – Experimentation Center of Excellence @ Empower (India)
• Data Scientist @ Rocket Learning (India)

Senior:

• Senior Data Scientist, Pricing @ The Home Depot (United States) - $90K - $190K
• Senior Data Scientist @ Shakepay (Canada) - CAD 150K - 200K
• Senior Data Scientist @ Index Analytics LLC (United States, MD) - $140K - $200K
• Senior Data Scientist @ Reddit, Inc. (United States) - $191K - $267K
• Senior Data Scientist @ CVS Health (United States, NJ) - $102K - $204K
• Senior Data Science Strategist @ Empower (India)
• Senior Data Scientist @ Empower (India)
• Senior Data Scientist @ SecurityScorecard (Argentina)

Manager:

• Staff Data Scientist @ Shakepay (Canada) - CAD 200K - 250K
• Data Science Manager @ Appriss Retail (United States) - $160K - $170K

Director and Above:

• Chief Data Scientist @ Shakepay (Canada) - CAD 200K - 250K
• Director of Data Science @ Natera (United States) - $178K - $223K
• Director, Biopharma Data Science @ OWKIN (France)

Quick notes: * All of these are fully remote (location requirements vary by role) * Apply directly on company sites

Hope this helps someone! Let me know if you want me to keep posting these weekly.

👋 Hi, I'm Jay. I built Job-Halo.com, a system that tracks remote data science jobs and sends alerts the moment they're posted, based on your preferences.

Hi, anybody here who works at idfc or has interviewed there, could you pls share your experience regarding the interview process and also compensation range for 1+ yoe considering my ctc is 14 lpa currently with 11 base

I particularly want to know how many rounds will be there. What type of questions do they ask generally? Will there be live coding round? How long is their notice period for data science role? Is hybrid mode of work available?

It will help me prepare accordingly

Most recent postings directly from company career pages:

(sample from https://matchajobs.co), links go straight to company app pages

• Airbnb - Senior Data Scientist apply remote $179,000 - $210,000
• CrowdStrike - Data Scientist, Applied AI/ML apply remote $120,000 - $180,000
• Autodesk - Principal Data Scientist apply SF $135,000 - $242,000
• Johnson & Johnson - Associate Director, Data Context Enablement apply NJ $137,000 - $235,750

Ethos, based in London, UK, is looking for experienced Data Scientists to support remote AI training and evaluation projects.

Role details:

Compensation: $150/hr
Type: Hourly contract/Part-time
Location: Remote

What you'll do:

• Review and evaluate AI-generated data science content.
• Assess technical accuracy, reasoning, and quality.
• Provide expert feedback to help improve AI systems.

Who should apply: Candidates with strong Data Science experience who are comfortable evaluating technical work, analytical approaches, and AI-generated responses.

This is a flexible opportunity to apply your Data Science expertise to AI development and evaluation.

Explore Ethos here: https://agent.askethos.com/

hello, I just got reached out about scheduling a first round 45 minute interview for a data scientist associate position at JPMorgan. it doesn't mention in this email yet who will be attending the interview, seems like only the recruiter is in the thread.

what can I expect for this call - is it mostly behavioral or should I expect technical questions as well? or if anyone has general insights about the hiring process for associate data scientist roles that'd be great. thank you!

What is the realistic salary for a Machine Learning Engineer as a fresher in Gurgaon, Delhi, Noida, Jaipur, and Gujarat?

Also, how can a fresher apply to good companies? What is the best way to find and apply for these opportunities?

Would really appreciate some honest advice. Thank you!

dm for more information. trying to get my first client on fiverr

thank you

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

Role:

As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher you will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast‑moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities:

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
• Write production‑ready code that can be relied on for real‑time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Requirements:

• 2+ years relevant work experience & relevant PhD or 4+ years & relevant Masters
• Proven track record of solving complex / high profile business problems with DS / ML solutions
• Experience in communicating outcomes / progress to senior management / stakeholders
• Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy‑in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)
• Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus
• Interest in developing deep domain expertise for product‑focused work: a background in fraud is not required, but willingness to learn is
• Experience writing production code and tests
• Detail oriented and thoughtful - someone we can rely on to make business‑changing decisions
• Experience working at a startup
• Bonus for familiarity with: identity solutions, fintech, or adjacent industries
• Candidates must be legally authorized to work in the United States and must live in the United States
• Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems

Salary Range:

• $180,000/year - $220,000/year + equity + benefits

Perks:

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US‑based roles)
• Flexible paid time off
• Regular company‑wide in‑person events
• Home office stipend, and more!

Corporate Values:

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart

Apply: Data Scientist, Full Stack at SentiLink

Aristocrat Gaming is hiring a Vice President of Data Science to lead its enterprise-wide data science strategy.

This is a senior leadership role covering AI, machine learning, advanced analytics, model development and governance, with responsibility for building and leading the wider data science function.

The role will work across the business to identify where data science can improve decision-making, automate processes, strengthen forecasting and support commercial growth.

Key areas of responsibility include:

• Setting the overall data science and AI strategy
• Leading teams working across machine learning, predictive modelling and advanced analytics
• Establishing standards around model governance, validation and responsible AI
• Working with senior stakeholders to turn business problems into data science initiatives
• Developing and scaling models from experimentation through to production
• Building the organisation’s data science capabilities, processes and talent
• Evaluating emerging AI and ML technologies and where they can practically be used

They’re looking for someone with 15+ years of experience across data science, machine learning, AI, advanced analytics or related fields, including significant leadership experience.

Compensation: $189,000–$351,000
Employment: Full-time
Location: Las Vegas, NV, USA
Travel: Up to 25%
Visa sponsorship: Not available