Question 1

What keywords should a data scientist resume have in India 2026?

Accepted Answer

Core keywords for data scientist resumes in India: Python, SQL, pandas, NumPy, scikit-learn, TensorFlow or PyTorch, machine learning, deep learning, NLP, data visualization (Tableau, Power BI), statistics, A/B testing, feature engineering, model deployment, MLflow, Spark (for senior roles), and cloud (AWS SageMaker, GCP Vertex AI). Include the exact tool names from the job description — ATS matches exact strings.

Question 2

How long should a data scientist resume be in India?

Accepted Answer

1 page for 0–3 years experience, 2 pages for 3+ years. Lead with a technical skills section, then experience with quantified model outcomes (improved model accuracy by X%, reduced inference time by Y%), then projects (with GitHub links), then education. For freshers with no work experience, projects and Kaggle rankings are the core.

Question 3

What ATS score should a data scientist resume have?

Accepted Answer

Data scientist roles at top Indian companies have ATS cutoffs around 65–70. Scores above 75 are strong and will clear most automated screens. Common reasons data science resumes score low: missing specific library names, describing results qualitatively instead of quantitatively, and not listing the business impact of models built.

Question 4

What companies hire data scientists in India?

Accepted Answer

Top data science employers in India: Flipkart, Amazon, Google, Microsoft, Zomato, Swiggy, PhonePe, Razorpay, CRED, Dream11, Juspay, Meesho, MindTree, TCS, Infosys. MNCs pay ₹12–40 LPA for 2–5 years experience; unicorns pay ₹15–50 LPA for strong ML backgrounds.

Free Data Scientist Resume Checker India 2026