Responsibilities

• Marketing Mix Modeling & Optimization: design and operationalize MMM frameworks (Linear and Bayesian) to quantify channel impact and translate findings into budget plans and scenario simulations.
• Omnichannel Analytics: measure and optimize integrated channels (digital, personal promotion, EHR, programmatic, social, email) and build attribution frameworks.
• Customer Segmentation & Lifetime Value: develop segmentation models and CLV to inform investment priorities and long-term portfolio planning.
• Campaign Analytics & Measurement Framework: manage pilots, Brand Lift studies, A/B tests, and incrementality experiments with standardized design.
• Agentic AI Transformation: drive AI-assisted analytics with Claude, Codex, and other tools to automate insights and end-to-end measurement workflows.
• Marketing 360 Dashboard Ownership: own the dashboard design, data pipelines, KPI definitions, governance, and evolution to predictive insights.
• Stakeholder Management: partner with Media, Brand, and Marketing Hub to translate objectives into analytical roadmaps and communicate insights clearly.
• Team & Vendor Leadership: lead the Data Science team, collaborate with IM, and manage external analytics vendors for rigor and delivery.
• Research & Innovation: stay ahead in Bayesian methods, causal inference, agentic AI architectures, and scale innovations in measurement.

Requirements

• Master's degree in Statistics, Data Science, Economics, Marketing, or related quantitative field.
• 9+ years in marketing analytics with deep, hands-on MMM (Linear & Bayesian), segmentation, CLV, and omnichannel measurement.
• Pharmaceutical or healthcare analytics experience strongly preferred.
• AI & Innovation Mindset: demonstrated motivation to transform marketing analytics with GenAI and hands-on use of Claude/Codex.
• Measurement Framework Expertise: knowledge of linear and Bayesian MMM, multi-touch attribution, incrementality, and experimental design.
• Technical Skills: Python, R, SAS or similar; Bayesian libraries (PyMC, Stan, NumPyro); data viz (Power BI, Tableau); familiarity with LangChain or agentic orchestration platforms is a plus.
• Analytical Skills: strong statistical and causal modeling abilities applied to marketing decisions.
• Communication: ability to translate complex modeling and AI concepts for non-technical and executive audiences.
• Attention to Detail; Project Management: meticulous, with ability to lead multiple initiatives in a fast-paced, matrixed environment.

Preferred

• Pharmaceutical or healthcare analytics experience strongly preferred.

Benefits

• Eligible for short-term and/or long-term incentives.
• Medical, dental, vision insurance, disability and life insurance; 401(k) with company match; tuition reimbursement; holidays and well-being benefits.
• U.S.-based employees receive sick time, floating holidays, and paid vacation.