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
- Solid 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

📌 Senior Data Scientist (Bangalore Metropolitan Area)
🏢 UsefulBI
📍 Bangalore Metropolitan Area