Analyst - Data Scientist

Overview

Analyst - Data Scientist (individual contributor) focused on commercial analytics and advanced AI/ML models using healthcare datasets.

What you'll do

• Serve as a statistical subject matter expert across hypothesis testing, confidence intervals, power analysis, ANOVA, and regression modeling.
• Design and interpret regression models including linear, logistic, mixed-effects, Poisson, and regularised approaches.
• Develop, validate, and deploy predictive machine learning models (e.g., XGBoost, LightGBM, Random Forest, SVM, neural networks, ensembles).
• Build survival and time-to-event models and develop forecasting and scenario modeling solutions.
• Optimize Marketing Mix Models and build next-best-action recommendation engines.
• Ensure analytics follow HIPAA and governance standards using de-identified patient-level data and explainability/fairness monitoring.
• Partner with multiple commercial and healthcare teams and present findings to technical and non-technical stakeholders.

What you'll need

• Master's or PhD in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, or a related quantitative discipline.
• 4–8+ years of relevant experience in healthcare, life sciences, or commercial analytics.
• Advanced proficiency in hypothesis testing, regression analysis, ANOVA, survival analysis, Bayesian inference, and significance testing.
• Hands-on predictive modeling experience using XGBoost, LightGBM, Random Forest, SVM, neural networks, ensemble methods, and time-series forecasting.
• Expert-level proficiency in Python and SQL, plus experience with explainability libraries.
• Experience with Snowflake (incl. Snowpark), Spark/PySpark, MLflow, and cloud-based data platforms.
• Working knowledge of HIPAA requirements and regulated-environment governance, including explainable AI frameworks.

Details

• Location: Manyata Tech Park, Bangalore, India.
• Shift: 2 pm to 11 pm IST.