Director, International MROI Data Science Lead

ROLE SUMMARY 

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains together through data and analytics? 

Pfizer is seeking a senior leader in Data Science to build and lead a best-in-class team focused on Marketing Mix Modeling (MMM) within commercial analytics. This role is responsible for hands-on development and deployment of MMM solutions, driving actionable insights for marketing optimization and ROI. The ideal candidate combines deep technical expertise in MMM with a consulting background, enabling strategic influence across multiple markets and business units. You will collaborate cross-functionally to empower data-driven decision-making, accelerate marketing transformation, and deliver measurable business impact. 

ROLE RESPONSIBILITIES  

This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for across Commercial analytics to develop and implement models, insights, and data products that drive brands’ strategic priorities.  

• Lead end to end design, implementation, and refinement of marketing mix models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms).  

• Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancements 

• Build, validate, and deploy econometric and machine learning models (regression, time series, Bayesian, causal inference) for marketing ROI analysis and budget allocation.  

• Partner with marketing, media, agnecies and commercial teams to evaluate campaign performance, forecast outcomes, and recommend strategic investments.  

• Develop and oversee A/B tests, incrementality studies, and causal inference approaches to validate marketing impact.  

• Ensure robust data pipelines, data quality, and governance for marketing analytics datasets.  

• Lead cross functional team of data scientists & data engineers fostering innovation, technical excellence, and continuous learning.  

• Present insights and recommendations to senior stakeholders in clear, actionable formats.  

• Drive adoption of advanced MMM methodologies, including ad-stock, saturation, and response curve modeling.  

• Stay abreast of latest MMM tools, platforms, and industry best practices.  

• Preferred: Experience in consulting, with a proven track record of delivering MMM projects for clients in diverse industries. 

BASIC QUALIFICATIONS  

• Extensive relevant experience in data science/advanced analytics, including proven time in managerial roles.  

• Significant Hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference.  

• Experience with open-source MMM frameworks (e.g., Lightweight MMM, Robyn, PyMC-based models) 
  • Exposure to agent-based media planning, causal ML 
  • Experience leading teams or mentoring junior analysts 

• STEM  (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis – Statistics, Computer Science, Operations Research, Economics, Engineering etc.  

• Industry or consulting experience, along with project management skills strongly preferred 

Technical Skills 

•  Proficient in Python and/or R, with solid understanding of advanced statistics 

• Strong hands-on experience in MMM development & deployment 
  Experience with Bayesian and classical econometric techniques (e.g., hierarchical models, regression, adstock, saturation, priors design) 
  Familiarity with incrementality testing, experimental design, causal inference 
  Ability to build, validate, and maintain scalable MMM pipelines 

• Knowledge of cloud environments (AWS/GCP/Azure), SQL, and data engineering workflows 

• Experience integrating MMM outputs with business dashboards

Responsibilities 

• Lead development and enhancement of MMM models for multiple brands/markets 
• Design and maintain ROI optimization frameworks & budget allocation scenarios 
• Combine MMM with experimentation, digital attribution & forecasting 
• Own MMM roadmap, vendor management  

• Build insights playbooks and support annual brand planning & investment decisions 

NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS  

Up to 15%