Senior Data Scientist

Experience: 4-6+ years

Location: Bangalore / Pune / LucknowWork Mode: HybridRole OverviewWe 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 ResponsibilitiesDevelop 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 SkillsStrong Python skillsHands-on experience with:PandasNumPyScikit-learnXGBoostLightGBMSHAPStrong understanding of feature engineeringExperience with regression and classificationStrong knowledge of statistical modeling and model validationExperience with AWS SageMakerExperience with MLflow and experiment trackingStrong SQL, preferably SnowflakeGood understanding of model evaluation and ML lifecycleGood to HaveExperience in pharma / healthcare / commercial analyticsExperience with HCP, product, or market-level datasetsExposure to GenAI / LLMs / RAGExperience with AWS ML ecosystemKnowledge of model explainability and responsible AI