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 idóneo 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
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.
Marketing and Market Research

📌 Manager, Data Science (Ciudad de México)
🏢 Pfizer
📍 Ciudad de México