What does a Data Scientist do?
A data scientist uses statistics, machine learning and programming to extract insight from data and build predictive models that drive business decisions. In India they typically work in Python with libraries like pandas, scikit-learn and TensorFlow, designing experiments, engineering features, training and evaluating models, and communicating results to stakeholders so the business can act on predictions, not just hindsight.
A data scientist usually has around 1–8 yrs of experience and earns typically ₹6L–₹30L/yr in India. The day-to-day blends Python, Statistics, Machine learning and more — this page gives you a ready-to-use data scientist job description template you can copy, plus the exact skills and salary employers expect.
Data Scientist job description template
Copy the 8 responsibilities, 5 requirements and 10 skills below into your job post, then edit the parts that are specific to your company — pay band, location and reporting line.
Select the text above to copy it manually if the button is unavailable.
What are a Data Scientist's key responsibilities?
A data scientist is typically responsible for the 8 duties below, which cover the day-to-day work most employers expect the role to own outright. Paste them into your job post as they are, or cut the ones another team already handles — a responsibility list that claims work the hire will not actually do is the fastest way to lose a candidate at offer stage:
- Frame business problems as data and machine-learning questions
- Explore, clean and engineer features from large, varied datasets
- Build, train and evaluate predictive and statistical models
- Design and analyse A/B tests and controlled experiments
- Validate models for accuracy, bias and generalisation before deployment
- Translate model outputs into business recommendations and dashboards
- Collaborate with ML and data engineers to productionise models
- Stay current with research and apply new techniques where they fit
What qualifications does a Data Scientist need?
Employers hiring a data scientist in India usually ask for the 5 qualifications below, typically alongside 1–8 yrs of experience. Keep only the ones you will genuinely screen on: every extra must-have narrows the pool, and in the Indian market a long mandatory list filters out strong candidates whose background simply reads differently on paper:
- Strong foundation in statistics, probability and machine learning
- Proficiency in Python (pandas, NumPy, scikit-learn) and SQL
- Experience with model evaluation, feature engineering and experimentation
- Master's/Bachelor's in a quantitative field or equivalent project work
- Ability to explain complex models to non-technical stakeholders
What skills should a Data Scientist have?
These are the 10 skills employers name most often on live data scientist listings in India. Treat the first few as the ones worth screening for directly and the rest as signals a candidate can pick up on the job — asking for all of them at once is what turns a reasonable role into an unfillable one:
Listing the three or four skills you genuinely screen on — rather than all 10 — is what keeps a data scientist posting from filtering out candidates who could do the job.
What does a Data Scientist earn in India?
Typical salary (India)
typically ₹6L–₹30L/yr
Experience range
1–8 yrs
These are typical ranges and vary by city, company and skills. For live, role-specific pay data, see the OnJob salary guide.
Data Scientist job description — FAQs
What does a data scientist do?
A data scientist turns data into predictions and decisions by building machine-learning and statistical models. The work includes framing the problem, preparing data, engineering features, training and evaluating models, and explaining the results so the business can act on them.
What skills do you need to become a data scientist in India?
You need a strong grasp of statistics and machine learning, fluency in Python and SQL, and the ability to communicate findings clearly. Hands-on experience with scikit-learn, feature engineering and model evaluation is what most Indian employers look for.
Is a data scientist the same as a machine learning engineer?
No. A data scientist focuses on analysis, experimentation and building models to answer questions, while a machine learning engineer focuses on deploying, scaling and maintaining those models in production. The roles overlap but emphasise different stages.
How much does a data scientist earn in India?
Entry-level data scientists typically earn ₹6L–₹12L per year, mid-level ₹14L–₹22L, and senior or specialist data scientists ₹25L+. Employers pay that premium for people who can frame a business problem as a machine-learning question, engineer features, validate models for bias and generalisation, and design controlled experiments, rather than only running scikit-learn notebooks. Roles usually ask for 1–8 years plus a quantitative degree or equivalent project work.