Manager, Data Science

About The Role

We are seeking a seasoned Manager of Data Science to lead advanced Marketing Analytics, modeling, and resource allocation projects across our Commercial Analytics organization. This role is ideal for a technically strong analytics individual with deep expertise in media mix modeling (MMM), Python programming, and scalable analytics workflows. You will play a critical role in shaping marketing strategy, optimizing investments, and driving growth by leveraging advanced statistical modeling, experimentation, and data engineering best practices.

Key Responsibilities

·Lead Media Mix Modeling (MMM): Design, implement, and maintain MMM frameworks to measure marketing effectiveness and guide investment decisions across channels.·Scale Analytics Workflows: Architect and streamline analytics workflows, pipelines, and automation processes to ensure scalability and efficiency across teams.·Drive Insights & Strategy: Translate data into actionable insights, providing clear recommendations to senior leadership and cross-functional partners.·Build Advanced Models: Apply robust statistical methods (Bayesian inference, regression, time-series, causal inference) to evaluate marketing performance.·Code & Automate: Write clean, production-grade Python code to build reusable tools, optimize workflows, and enable scenario planning at scale.·Partner Cross-Functionally: Collaborate with marketing, finance, product, and data engineering teams to align analytics outputs with business strategy.·Partner with to junior data scientists, setting standards for code quality, modeling rigor, and analytical best practices.

Qualifications

·Education: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or related field (PhD a plus).·Experience:
- 4+ years of experience in analytics, data science, or marketing measurement roles, with at least 3 years in a senior or managerial capacity.
- Proven track record building and scaling Media Mix Models (MMM) and integrating outputs into decision-making.·Technical Skills:
- Strong expertise in Python (pandas, NumPy, statsmodels, scikit-learn, PyMC or similar Bayesian packages).
- Experience with SQL and cloud platforms (AWS, Snowflake, GCP, or similar).
- Strong statistical foundation: regression, time-series, Bayesian methods, causal inference.·Domain Expertise: Deep understanding of marketing channels (TV, digital, search, social, programmatic, retail media) and measurement frameworks (incrementality, attribution, MMM).·Leadership: Demonstrated ability to lead teams, set technical standards, and scale analytical practices in fast-paced environments.·Soft Skills: Strong storytelling, communication, and stakeholder management skills; able to translate complex analysis into strategic insights.

Why Join Us

This is an opportunity to shape the future of marketing measurement at scale, working on cutting-edge MMM, automation, and analytics solutions. You’ll have a seat at the table to influence investment decisions, build transformative solutions, and mentor a team of top-tier analytics talent.

  
Work Location Assignment: Hybrid

EEO (Equal Employment Opportunity) & Employment Eligibility 

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.

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