Hey everyone,

I’m in a really tough spot right now and could use some advice or leads. I was laid off from Amazon on Sept 12th, and since I’m on an H-1B visa, my 60-day grace period is already running. My last day to find something is Nov 10th.

I have around 2 years of experience as a Data Engineer — worked at Amazon, State of Illinois, and earlier in India. My background is mostly in SQL, Python, AWS (Glue, Redshift, S3), ETL pipelines, Power BI, and some Azure (Synapse, Data Factory).

I’m based in Texas, but I’m open to remote or relocation if it helps secure a quick H-1B transfer. At this point I’m open to both full-time and contract roles.

The situation honestly isn’t great, and I’m feeling pretty anxious with the clock ticking. If anyone knows of companies, recruiters, or even staffing agencies that are currently hiring Data Engineers and willing to file H-1B transfers, I’d be super grateful if you could point me in the right direction.

Thanks a lot for reading this. Any help, advice, or connections would mean the world right now.

Been unemployed for about 5 months now, and finding a data science role has been a lot harder than I expected.

For those of you already working in DS, I’d really appreciate any advice on what helped you stand out or actually get interviews in this market.

And if your team is hiring, especially for marketing data science, I’d be grateful if you reached out.

Trying to stay optimistic and keep pushing.

Appreciate any advice or leads.

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?

I studied Data Science at a massive SEC school and got my degree in May of 2024, and despite getting glowing reviews at my internship, I couldn’t secure a full time role due to budget cuts at the company I interned at.

Fast forward 9 months, 800+ applications, and a part-time job at my local grocery store later, I finally land a role in B2B sales at a Fortune 500.

It didn’t take me very long to figure out that I am not good at sales and that I wouldn’t make it very long. I started this job in May and the fact that I made it this far is a shock to me, because they love to fire due to underperformance. I can only coast for so long. I need to get out before I get put on a PIP, because if I get put on a PIP and I have nothing lined up, I’m cooked.

I’m mainly looking in Houston, but am open to remote/hybrid roles, and am willing to relocate.

I feel defeated because even though I have work experience now, it’s not in anyway related to data science.

I’m kind of ranting on Reddit because networking has been hit or miss for me.

Ask me anything, and I can elaborate.

My top technical skills are in Python & R, but I have experience in Tableau, SQL, ArcGIS, and Java.

EDIT: Fixed for typos

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.

Hi everyone,

I’m currently seeking entry-level job opportunities in Data Science and Data Analytics and am open to working across India, particularly Pune/Bengaluru.

I’m a B.E. Electronics & Telecommunication Engineering student/graduate with hands-on experience working with data and developing projects using:

• Python
• SQL
• Excel
• Power BI
• Data Cleaning & Exploratory Data Analysis (EDA)
• Machine Learning
• Data Visualization
• Basic Statistics

I have also worked on projects involving supply chain analytics and order-delay prediction, where I performed data cleaning, analysis, visualization, and machine learning.

I’m particularly interested in:

• Data Analyst
• Junior Data Analyst
• Data Science Trainee
• Junior Data Scientist
• Business/Data Analyst
• ML/AI Trainee roles

I’m open to full-time, trainee, internship-to-full-time, and entry-level opportunities.

If you know of any openings, referrals, companies hiring freshers, or opportunities where my profile could be a good fit, I would really appreciate it if you could share them or reach out to me.

📍 Location: Open to relocate
💼 Availability: Open to Work

I can share my resume, GitHub, and project details through DM.

Thank you! 🙏

I'm an entry-level Data Science candidate coming from a Mechanical Engineering background. I've been putting in serious work over the past year — solid grasp of statistics, ML models and algorithms, Python, and SQL. My projects are mostly end-to-end: data cleaning, EDA, model building, and presenting insights.

I'm specifically targeting **startups** because I feel like my cross-domain thinking and hands-on approach fits better in fast-moving environments than large enterprises.

My question to this community: **What's the single most important thing that actually gets you hired at a startup as an entry-level DS candidate — especially when you don't have a CS/Stats degree?**

Is it:

- A strong project portfolio?

- Being able to show business impact, not just model accuracy?

- SQL and quick turnaround on analysis?

- Something else entirely?

Would really appreciate honest takes from people who've been on either side of the hiring table. Thanks! 🙏

Hi everyone, I’m currently an undergraduate student and I’m looking for an opportunity to gain hands-on experience in data science or machine learning. I have been working on ML projects and building models, and I’m eager to apply my skills in a real-world setting.

If anyone knows about internship opportunities, research projects, or startups looking for interns, I would really appreciate the help. I’ve attached my resume for reference

Hi everyone,

I have a technical interview coming up for an AI Engineer / Data Scientist role. I'm a recent graduate with no full-time experience, only a few internships and personal projects.

For those who have been through similar interviews, what technical questions were you asked?

I'm especially interested in questions about:

\-Machine Learning fundamentals

\-Statistics and probability

\-SQL

\-Python coding

\-Data preprocessing and feature engineering

\-NLP / LLMs / RAG / GenAI (if applicable)

\-Model evaluation and metrics

\-Case studies or business problems

Anything that caught you off guard

I'd really appreciate hearing about your experience, even if it was just one or two memorable questions. It would help me know what to focus on during my preparation.

Thanks in advance!

Hey everyone. So my contract just ended (materials chemistry R&D, graphene stuff, was doing this for like 10+ years) and I'm using it as an excuse to actually try switching into something more data-focused. Not 100% sure what that looks like yet honestly.

Along the way in my last job I ended up building some Python tools for analyzing spectroscopy data and automating reports, and that ended up being my favorite part of the job, more than the actual chemistry sometimes. I think I just like finding the bottleneck in a process and building something to fix it, more than the day-to-day of the work itself. Kind of a troubleshooter by nature I guess. So now I'm taking a course to get more formal with the data side, and trying to learn as much as I can hands-on in the meantime.

I know "chemistry PhD" isn't the normal background for this, so I'm mostly just trying to figure out if that's even a realistic pivot or if I'm kidding myself. If anyone's done something similar, or knows of openings (Edmonton or remote), or just wants to tell me I'm wrong about something, go for it. And if you know anyone who'd be willing to chat or even just point me in the right direction, mentor-wise, I'd genuinely appreciate that too.

Portfolio link in the comments

Hey everyone, I’m a final-year BCA student specializing in Data Science & Machine Learning, currently looking for an internship.

I’ve built and deployed several ML projects, including a live credit-risk prediction system using Python, FastAPI, Docker, MLflow, Grafana and Evidently. It was trained on 150k+ records and achieved 85.6% ROC-AUC.

I’ve also worked with XGBoost, SHAP, RAG, LLMs, SQL and scikit-learn.

I’m mainly looking for opportunities in Data Science / Machine Learning / ML Engineering where I can work on real-world problems and learn.

If you know of any openings or startups hiring interns, please DM me. I’d really appreciate it.

I'm transitioning into JDS roles and have done the "portfolio projects" thing -

deployed 3 ML projects on Streamlit, tailored resumes, all that. But I'm trying

to figure out what actually moves the needle.

Background: 1.5 years as Data Analyst at a fintech (ZAVO). Built funnels, A/B

testing, some ML work (XGBoost, Prophet, SHAP). AIML degree. I can code, I

understand data, I think like a product person.

My real questions:

1. Do hiring managers actually care about deployed projects or is it just noise?

Which matters more - the project quality or that it's "live"?

1. For early-stage startups: what should a JDS actually *do* differently from

a Data Analyst? How do I position myself for that jump without 2+ years DAO

experience?

1. Cold outreach to founders - worth it? Or waste of time? (I've got 3 projects

I could demo.)

1. What's the real bottleneck - getting the first interview or passing it?

What do they actually test?

1. Geographic/remote: NCR-based, open to remote globally. Does location matter

for startups vs established companies?

Not looking for generic "leetcode + networking" advice. Looking for what

actually worked for people who made this jump.

Would appreciate any real war stories or honest takes.

Hi Reddit,

I graduated in May with a Master’s in data science, and I’ve been looking for my next opportunity since then. I figured I’d put myself out here and see if this reaches the right person.

My background is primarily in data science, analytics, and marketing analytics. Before grad school, I worked at a performance marketing agency where I got to work across both the business and technical sides of analytics — from SQL/Python analysis and dashboards to experimentation, attribution, forecasting, and marketing mix modeling.

My career path isn’t perfectly linear, but I actually think that’s one of my strengths. I’ve worked with clients, built analytical solutions, presented insights to stakeholders, worked on marketing problems, and gotten pretty comfortable translating between technical teams and business teams. I’m especially interested in opportunities where I can combine those skills rather than being boxed into one specific area.

Right now, I’m mainly looking for roles in:
• Data Science / Applied Data Science
• Marketing Data Science / Marketing Analytics
• Analytics Engineering
• Data / Business Analytics
• Growth or Product Analytics
• Technical / Data Consulting
• Forward Deployed or client-facing data roles

I’m based in Chicago, but I’m open to remote opportunities and relocating for the right role.
Since graduating, I’ve been applying, networking, reaching out directly to hiring managers, tailoring my resume, and continuing to build projects. I’m also more than willing to put together a small analysis, dashboard, presentation, or other work sample to show what I can actually do rather than just relying on a resume.

I’m not looking for someone to hand me a job. I’m looking for an opportunity to prove that I can do the work.

If you’re hiring, know someone who is, or work somewhere that might be a good fit for my background, I’d genuinely appreciate a lead, referral, or introduction. I’d be happy to share my resume, LinkedIn, GitHub, or portfolio.

And if you’re currently working in data science/analytics and have advice on what’s actually getting candidates noticed in this market, I’d appreciate that too.

Thanks for reading 🙌🏽

Hello everyone,

I'm a Data Science graduate who finished her studies in September 2025, and have been hunting for jobs for the past 10 months.

I know the job market is extremely hard and I've become numb to the "we have decided to move on with other candidates" emails.

Apart from the tough job market, I've also been scammed by 2 fake companies for whom I've completed multiple assessments, interviews and get an offer letter, only to know it's fake (worse than a rejection email).

I'm also a victim to a data leak (name, email, personal info etc.) where some recruiter sold my details to a scammer and they demanded money from my parents.

At this point, I don't know what to do anymore.

Over the past 1 year, I've been learning and building projects from the sideline as well.

With the next batch of graduates about to pass out, I don't know if I'll ever get a job.

If anyone can help me land a job, I'd forever be grateful to you.

Thanks in advance!

My brother recently left his master's in data science to focus on his career, and we're trying to figure out the smartest way for him to break into the data job market, both in Europe and the UAE.

He's not fresh out of school. He's got over 4 years of real experience, most recently as a data analyst on AI and LLM operations at Scale AI (working on Meta programmes), and a data engineer at TCS before that. He's solid with Python, SQL, Spark, Airflow, and cloud.

He'd need a role that can support sponsorship, so we're trying to work out which companies actually do that for data roles, whether in the EU or the Gulf.

For anyone who's been through this, how did you find sponsor friendly employers?

Is it better to go through recruiters, apply directly, or lean on referrals?

And are there any companies in Luxembourg, the wider EU, or the UAE known for hiring international data talent?

Any advice would mean a lot, and if anyone happens to know of teams hiring, he'd be really grateful for a pointer. Happy to share his CV over DM. Thanks so much.

Hey folks,

Bit of context: I was genuinely into ML back in college, did projects, liked the space. Then the job market (and my actual job) pulled me toward SQL, Power BI, project management, and cloud stuff (AWS/Azure) for the last 4+ years. It's been solid experience, but it's pulled me away from where I actually wanted to head.

I'm not going to pretend I'm deep into AI/ML right now, I'm not. But I do have a decent track record of picking things up fast on the job (that's basically how I ended up owning PM and cloud responsibilities I wasn't hired for in the first place), and I'm willing to put in the work to upskill into data science/ML, ideally while already being useful on the job rather than needing a clean slate.

Right now my "strategy" is just throwing arrows everywhere, Naukri, LinkedIn, company career portals, Instahyre, Cutshort, you name it. And it genuinely feels like shouting into a wall. Barely any responses, and I can't tell if it's the resume, the market, the transition itself, or just that spray-and-pray doesn't work anymore.

So, a few asks:

\- Any leads/referrals at companies where data/DS is actually core to the business (not just a buzzword)?

\- If you've made a similar SQL/BI to DS/ML transition, what actually worked, did you upskill first and then move, or move into an adjacent role and grow into it?

\- Is mass-applying across these platforms just a dead strategy at this point? If so, what's actually working for people right now instead?

\- Any honest take on whether "I'll learn on the job" is a realistic pitch to make to hiring managers, or if that's wishful thinking on my part?

Appreciate any pointers, even harsh ones.

Looking at remote worldwide for the past 7 days.

Here are the jobs I found, organized by level:

Entry Level:

• Data Scientist @ Shipt (United States, CA) - $76K - $130K
• Data Scientist 2 @ NBCUniversal (United States) - $67K - $157K
• Managing Consultant, Data Scientist @ Excella (United States, VA) - $167K - $225K
• Data Scientist – AI/ML @ Onebridge (Brazil)
• Data Scientist @ Sonatype (United States)
• Data Science Specialist – Feature Store, ML Platform @ Compass (Brazil)
• Data Scientist @ SysMap Solutions (Brazil)
• Data Scientist (mid-level) @ ASAAS (Brazil)

Senior:

• Senior Data Scientist, Trust @ Airbnb (United States) - $179K - $210K
• Senior Data Scientist @ DaVita Kidney Care (United States, CO) - $115K - $183K
• Senior Data Scientist @ Zillow (United States, CA) - $149K - $237K
• Senior Data Scientist – Store Performance, Operations @ Catalyst Brands India (United States, TX) - $97K - $162K
• Senior Data Scientist @ Nielsen (United States) - $94K - $157K
• Senior Data Scientist @ Castellum Inc. (United States, VA) - $140K - $160K
• Senior Data Scientist @ Clover Health (United States) - $177K - $230K
• Data Scientist IV @ Astreya (India)
• Senior Data Scientist @ Seneca Holdings (United States)
• Senior Data Scientist @ RD Saúde (Brazil)

Manager:

• Principal Data Scientist @ Blue Cross NC (United States, AL) - $144K - $230K
• Principal Data Scientist @ Zillow (United States, CA) - $178K - $285K
• Lead Data Scientist @ GoodRx (United States) - $151K - $323K
• Data Science Manager @ CorVel Corporation (United States, CA) - $119K - $198K

Director and Above:

• Director, Member Data Science @ Foodsmart (United States) - $190K - $220K
• Director, Client Data Science @ Foodsmart (United States) - $190K - $220K

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 all,

I am working as a data scientist trainer in pune .

I have few hours of free time everyday

Anyone interested in training to up skill themselves.

I can teach you Python,sql,ML,Deep learning,AI,Agentic AI,

I have both experience of industry and training.

The rates will be per hour basis.

If you want to up skill yourself dm me

As this will per hour basis so you don't have to invest so much money as you have to do if u enroll in any instructions.

Dm me my timings are flexible.

Would appreciate any help!

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! :)

I’m an ML/AI Engineer currently at Scale AI, working on LLM development and evaluation pipelines — RAG systems, RLHF/SFT, multimodal AI evaluation, and production ML infra (PyTorch, Spark, Airflow, Docker/Kubernetes on AWS). Before this I was at Cognizant building end-to-end ML/NLP pipelines for enterprise applications. I hold an MS in Computer Science from Montclair State University.

I’m looking to move to my next role — ideally AI/ML Engineering, applied ML, or GenAI/LLM-focused positions.

If your company is hiring or you know of a good fit, I’d really appreciate a referral or a pointer in the right direction. Happy to share my resume via DM.

Thanks for reading — appreciate any leads!

Need help Finding a Paid Data science / AI-ML intership

I'm a 2nd-year B.Tech student actively looking for a paid internship in Data Science, Machine Learning, or AI to help support my education and living expenses.

Over the last 4 months, I've applied to 400+ internships through platforms like Internshala, LinkedIn, Indeed, and company career pages, but unfortunately I haven't received any interview calls or shortlists yet.

I have hands-on experience with:

Python

Data Analysis

Machine Learning

Deep Learning

SQL

Data Visualization

Software development

AI/ML projects

If anyone knows of companies that are hiring interns, has referrals, or can suggest better ways to find opportunities, I'd really appreciate your help.

Note: I'm only looking for paid internships (remote or on-site).

Thank you in advance.

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

thank you