Design, develop, and deploy advanced forecasting models (ARIMA, SARIMA, Prophet, and other time series techniques) for healthcare-related use cases including PMPM forecasting.
Analyze structured and large-scale healthcare datasets (claims, membership, utilization, cost data) to generate actionable insights.
Build scalable, production-ready ML pipelines and automate forecasting workflows.
Perform model validation, back-testing, hyperparameter tuning, and performance monitoring to ensure accuracy and stability.
Translate business problems into data science solutions and clearly communicate findings to clients and stakeholders.
Lead end-to-end project execution, mentor junior data scientists, and ensure best practices in modeling and MLOps.
Collaborate cross-functionally with engineering, product, and business teams to drive data-driven decision-making.
Collaborate, coach, and learn with a growing team of experienced Data Scientists.

6–8 years of experience in Data Science, Machine Learning, or Advanced Analytics.
Strong expertise in time series forecasting techniques such as ARIMA/SARIMA, exponential smoothing, and other statistical models.
Hands-on experience in PMPM forecasting and healthcare analytics (claims, cost, utilization data preferred).
Proficiency in Python (pandas, numpy, stats models, scikit-learn) and SQL for data analysis and modeling.
Experience in deploying models to production and building automated data pipelines (MLOps exposure preferred).
Strong understanding of statistical concepts, model evaluation metrics (MAPE, RMSE, etc.), and model interpretability.
Excellent communication skills with experience engaging business stakeholders or clients.
Proficiency in building data pipelines using tools such as Airflow, Databricks, Spark, or similar frameworks.
Experience working in agile environments with cross-functional collaboration.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Lead Data Scientist

Key skills