Mid-Senior Level

Data Scientist Resume Format
India 2025

Looking to land a job as a Data Scientist? The average salary in India is ₹12L - ₹35L. Here's how to build a CV that beats the ATS.

₹12L - ₹35L
Avg Salary (India)
Mid-Senior
Experience Level
10+
Key Skills
ATS
Optimized

Copy-Paste Professional Summary

Use this professional summary for your Data Scientist resume:

"Data Scientist with 4+ years of experience in machine learning, statistical modeling, and predictive analytics. Expertise in Python, TensorFlow, and cloud ML platforms. Built ML models that improved business metrics by 30% for Indian e-commerce and fintech companies."

💡 Tip: Customize this summary with your specific achievements and years of experience.

Essential Skills for Data Scientist

Google uses these entities to understand relevance. Make sure to include these in your resume.

Hard Skills

Python (Pandas, NumPy)Machine LearningTensorFlow/PyTorchSQLStatisticsData VisualizationScikit-learnJupyter NotebooksAWS SageMaker/GCP AIDeep Learning

Soft Skills

Statistical ThinkingBusiness AcumenData StorytellingResearch SkillsProblem Formulation

Common Mistakes to Avoid

Not mentioning specific ML algorithms, missing statistical knowledge, not highlighting business impact of models, or failing to mention cloud ML platforms.

ATS Optimization Tips

How to Pass ATS Filters

Mention specific ML libraries (TensorFlow, PyTorch, Scikit-learn)

List ML algorithms you've implemented (XGBoost, Neural Networks, etc.)

Include cloud ML platforms (AWS SageMaker, GCP AI, Azure ML)

Mention MLOps tools if applicable (MLflow, Kubeflow, Docker)

Industry Context

Data Science is one of the fastest-growing fields in India. Top recruiters include product companies (Flipkart, Amazon, Paytm), consulting firms (McKinsey, BCG), and AI startups. High demand in Bangalore, Hyderabad, and Pune.

Frequently Asked Questions

Common questions about Data Scientist resumes in India

Should I include my Kaggle profile or competition rankings?

Yes! Kaggle rankings, GitHub repositories with ML projects, and published research papers significantly strengthen your Data Scientist resume. Indian companies (especially startups) value practical ML experience.

How important is mentioning specific ML algorithms?

Very important. Mention algorithms you've implemented (Random Forest, XGBoost, Neural Networks, etc.) and the business problems you solved. This shows depth beyond just using libraries.

Should I mention cloud ML platforms?

Yes! AWS SageMaker, Google Cloud AI, or Azure ML experience is highly valued. Also mention MLOps tools (MLflow, Kubeflow) if you have experience with model deployment and monitoring.

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