r/DataScienceJobs

Hi everyone,

I recently switched to a Data Scientist role after 2+ years of experience, and my goal is to crack a MAANG data scientist position within the next year.

I'd love guidance from people who've been through this journey. What should I focus on DSA, machine learning, statistics, SQL, system design, MLOps, GenAI, or interview preparation? Any roadmap, resources, or advice would be greatly appreciated.

Thanks in advance!

Hey Everyone, right now I’m looking out for change in Data Scientist Role. I have 4+ years of experience in Data Science with strong skill set in Python, SQL, Data Visualisation, Machine learning Modelling, Deep Learning, A/B testing, LLMs, Gen AI, Agentic AI. Right now I’m working in PBC, I have applied in multiple companies still not getting any calls. Please help

Hey guys, I am a graduate from the core branch and am looking for opportunities in IT but don't know how to prepare for coding round and from where to prepare

Any guidance will be appreciated

Hi everyone,

I'm a Data Scientist at a FAANG-like company I'm looking to move into ML Engineering because I want to focus on more technical, engineering-heavy work.

Background:

CS degree

Prior SWE intern experience at a big tech company

Solid with DSA and core CS

One publication + research experience in ML/NLP specifically training NN.

Questions:

Is it better to try to move laterally within my current company, or look externally?

If I switch companies (or even move internally), am I likely to be pushed back down to an entry-level role, or can my DS + SWE background carry over to a mid-level MLE position? (2yoe)

Hi everyone,

I recently completed my B.Sc. in Data Science (2026), and I'm feeling really lost. I was hoping to start my career as a Junior Data Scientist or Data Analyst, but after months of applying, I've realized that most companies want experienced candidates.

I've applied through LinkedIn, Indeed, company career pages, and official websites. I've even called some companies directly to ask if they had any openings, but the answer is almost always the same: "There are no openings right now."

I'm not a topper, but I'm also not a weak student. I'd say I'm somewhere in the middle. I have strong technical skills, a good understanding of Data Science concepts, and I've worked on several projects during my degree. However, I don't have any professional experience yet.

At this point, I'm starting to question what I should do next.

Should I:

Keep applying for Data Analyst roles?

Learn something new, like Data Engineering, Cloud, or another in-demand skill?

Accept any job related to data just to gain experience?

Or switch to a completely different career path?

I'm feeling frustrated because I worked hard to earn my degree, but it seems like getting that first opportunity is the hardest part.

I'd really appreciate honest advice from people who have been in a similar situation or who work in the industry. What would you do if you were in my position?

Thank you for taking the time to read my post.

💰 $2,000 REFERRAL BONUS — if your referral leads to my hire. Not a gimmick, I'll put it in writing.

Refer me → I get hired → $2,000 is yours. Simple.

\---

\*\*Who I am:\*\*

A Data Analyst, 3+ years across healthcare, nonprofits, and higher education. I'm the person who finds the error in your data before your stakeholder does. MS Information Systems. AWS Certified.

Fun fact: my most-proud work is a co-authored, DOI-published research dataset. Yes, I documented 200+ variables and loved every second of it. I might have a problem. 😄

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\*\*What I bring:\*\*

→ SQL — large-scale querying, reconciliation, anomaly detection

→ Python (Pandas, NumPy) + Apache Airflow — ETL pipelines & automation

→ Power BI (DAX, Power Query) + Tableau — dashboards people actually use

→ AWS (Bedrock, Redshift, S3, Lambda, Athena) — cloud-native workflows

→ RAG pipelines + Agentic AI (AWS Bedrock) — actively building here 🚀

→ Data validation — 99.5% accuracy maintained across weekly audits

→ Apache Airflow — automated ETL orchestration at scale

\---

\*\*Roles I'm targeting:\*\*

✦ Data Analyst (any industry)

✦ Institutional Research Analyst

✦ Supply Chain Data Analyst

✦ People / HR Analytics Analyst

✦ IT Planning / Business Analyst

✦ AI / Cloud Analytics

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\*\*Work authorization:\*\*

OPT — STEM extension eligible → 2-year runway, no H-1B lottery, zero petition cost to the employer. No sponsorship needed right now.

\---

\*\*Location:\*\*

Texas - open to remote, hybrid, or relocation anywhere in the US.

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DM me here too — I respond fast.

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If you work somewhere with open analyst roles, know a recruiter, or can pass my resume to the right person — please reach out. Even a warm intro changes everything.

And yes — the $2,000 is real. DM me and I'll confirm in writing before you refer. 🤝

Thank you. 🙏

I'm currently an undergraduate in Information Technology, and I need to choose my specialization starting next semester. I'm interested in Data Science. Does Data Science will be survived and is it worthy for studying to future. I appreciate your opinions and advice.

Hey everyone,

I'm a final-year Computer Science student, and for the past 2–3 months I've been learning Data Science and Machine Learning. I've focused on understanding the concepts and building projects rather than just completing courses.

So far I've learned:

• EDA & Feature Engineering
• VIF, WoE & Information Value
• Logistic Regression
• Decision Trees & Random Forest
• Cross Validation & GridSearchCV
• Model Evaluation

I've also built a few end-to-end ML projects:

• Job Market Salary Prediction
• Banking Fraud Detection
• Healthcare Test Result Prediction
• Telecom churn prediction

I'm currently learning AdaBoost, Gradient Boosting, and XGBoost, and I'll be building projects using them next.

This year is really important for me because I want to secure an ML/Data Science internship before graduating.

So I wanted to ask:

- Based on what I've learned so far, do you think I'm ready to start applying for Junior ML Engineer, ML Developer, or Data Science Intern roles?

- Or should I spend another month or two strengthening my skills before applying?

- What skills or projects would you recommend I focus on next?

- If you know of any companies hiring interns, communities, referrals, or people I should connect with, I'd be incredibly grateful if you could point me in the right direction.

I'd really appreciate honest feedback and advice. Thanks in advance! 🙌

After my bachelors in Statistics I'll be pursuing a master's in Data science from one of the best research institutes in my country. I started this journey with the goal of enjoying my life as an sports data scientist, particularly football. The issue I am facing with that is, I live in a country that doesnt necessarily have the best football environment like england or spain. Any one of the more experienced guys who can guide me or atleast tell the ground reality of this field? Like do these guys get paid less in comparison as well? Thanks for reading :)

Hey guys so I’m currently in my first year of bsc in Data science , I wanna know if I should continue with msc in data science or switch to msc in AI, I would love to know the opinions of people who have experience in these fields

I am transitioning from civil engineering to data science. I'm 32 and fining it difficult to learn a new subject please suggest if you think my decision is correct as pe employment opportunities and placement companies perspective..

Hi everyone,

I’m a PCM student aiming for a career in Data Science / Data Engineering, and I’m confused about the best academic pathway (not skills/tools).

My options:

• BSc Statistics (tier-3 college)
• BSc Mathematics (decent college)
• BCA (Data Science) (decent college)

I want a clear answer on:

👉 Which degree gives the best long-term pathway for data jobs + MSc/IIT JAM/higher studies without blocking options?

Please suggest a simple roadmap.

Hi redditors.

I am looking for a job in Data analysis in Belgium. I have a masters in economics, and works as a senior statistician/data analyst in Italy. With 4 yrs experience in producing data for Eurostat and national stakeholders. Experience with R, Excel, Stata, PowerBI, some python (rarely use it so not pro). Learning french- now almost intermediate.

I have been trying to apply and mostly rejections or regrets. Anyone with leads to a company that can sponsor my permit please DM. I am free to answer any questions for clarity.

\*Non-EU but studied and lived in EU for 6 years.

Comment if you have already found job.

Also share some tips that helped you so it can be helpful to others 🥺