Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
About the role
- Director of International Data Science leading Marketing Mix Modeling and optimization efforts at Pfizer. Responsible for analytics driven insights and strategic recommendations across marketing initiatives.
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.
- 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.
Requirements
- 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)
- 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.
- Proficient in Python and/or R, with solid understanding of advanced statistics.
- Strong hands-on experience in MMM development & deployment.
- 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.
Benefits
- Flexible working hours
- Professional development opportunities
- Health insurance
- 401(k) matching
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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