Senior Data Scientist

Requirements

• Develop advanced statistical, Bayesian, and machine learning models to forecast demand across multiple horizons, including near-, medium-, and long-term planning horizons.
• Work with large, complex datasets, leveraging state-of-the-art techniques in statistical modeling, causal inference, and analytics to generate insights that support strategic decision-making across the business.
• Develop simulation and scenario-analysis capabilities to better understand the complex dynamics among patients, payers, providers, and market conditions.
• Collaborate with cross functional teams in Commercial, Operation, Finance and Technology to ensure forecasts are well integrated into critical business workflows.
• Research and evaluate emerging tools and methodologies in forecasting, data science and AI for potential application to business problems.
• Expertise in time-series forecasts, probabilistic programming, Bayesian and predictive modeling.
• Strong understanding of Python, SQL and tools such as scikit-learn, PyMC, Pytorch, Tensorflow and other data science libraries.
• Strong analytical and statistical intuition, with ability to generate novel insights from messy, complex datasets using techniques such as latent variable modeling, high dimensional clustering, and causal inference.
• Strong communication and story-telling skills, with demonstrated ability to translate technical concepts to non-technical stakeholders.
• Strong collaboration skills and ability to work effectively cross functionally.
• An intellectually curious self-starter who can take ambiguous problems and build solutions from the ground up.
• Experience building and developing forecasting models for biotech/pharma use cases with knowledge of healthcare commercial concepts such as payer/provider dynamics, formulary access, and coverage.

Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models, including remote and hybrid work arrangements, where possible