Senior Data Scientist

Experience: 4-6+ years
Location: Bangalore / Pune / Lucknow
Work Mode: Hybrid
Role Overview
We are looking for a Data Scientist to develop, validate, and deploy machine-learning models and analytical solutions. The role involves working on feature engineering, statistical modeling, predictive analytics, and ML experimentation, with hands-on experience across Python and AWS/SageMaker.
Key Responsibilities
Develop and validate machine-learning models for business and analytical use cases.
Perform feature engineering at HCP, product, and market levels.
Build regression and classification models using Python.
Apply statistical modeling, hypothesis testing, and model validation techniques.
Work with XGBoost, LightGBM, Scikit-learn, and SHAP for model development and explainability.
Use AWS SageMaker for model training, processing, and deployment.
Track experiments, parameters, and model performance using MLflow.
Perform model evaluation, validation, and performance optimization.
Work with Snowflake SQL for data extraction and analysis.
Collaborate with Data Engineers and business/analytics teams to build scalable analytical solutions.
Translate business problems into data-driven solutions and actionable insights.
Required Skills
Strong Python skills
Hands-on experience with:
Pandas
NumPy
Scikit-learn
XGBoost
LightGBM
SHAP
Strong understanding of feature engineering
Experience with regression and classification
Strong knowledge of statistical modeling and model validation
Experience with AWS SageMaker
Experience with MLflow and experiment tracking
Strong SQL, preferably Snowflake
Good understanding of model evaluation and ML lifecycle
Good to Have
Experience in pharma / healthcare / commercial analytics
Experience with HCP, product, or market-level datasets
Exposure to GenAI / LLMs / RAG
Experience with AWS ML ecosystem
Knowledge of model explainability and responsible AI

Work arrangement
Hybrid