Pfizer
Marketing and Market Research
DataScienceAssociate-AgentDevelopment
Neural analysis suggests this role is
optimal for Entry candidates.
“Data Science Associate - Agent Development at Pfizer. Skills: AI, modeling, optimization, Python programming, scalable analytics workflows, advanced statistical modeling, experimentation, data engineering best practices. 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 leadersh”
What You'll Achieve.
shaping marketing strategy; optimizing investments; driving growth; evaluate marketing performance; enable scenario planning at scale; align analytics outputs with business strategy; shape the future of marketing measurement at scale; influence investment decisions; build transformative solutions
Industry & Context.
Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.
What They're Looking For.
Must Have
1+ years of experience in analytics, data science, or marketing measurement roles, Python programming, SQL, cloud platforms (AWS, Snowflake, GCP, or similar), statistical foundation: regression, time-series, Bayesian methods, causal inference
Nice to Have
PhD a plus, Bayesian packages (PyMC or similar), Understanding of marketing channels (TV, digital, search, social, programmatic, retail media) and measurement frameworks (incrementality, attribution, MMM)
What You'll Do.
Scale Analytics Workflows: Architect and streamline analytics workflows
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
causal inference) to evaluate marketing performance.
Code & Automate: Write clean
production-grade Python code to build reusable tools
and enable scenario planning at scale.
How You'll Work.
Team & Collaboration
Partner Cross-Functionally: Collaborate with marketing, finance, product, and data engineering teams to align analytics outputs with business strategy.
Communication Scope
storytelling; communication; stakeholder management able to translate complex analysis into strategic insights
Full Job Description
## Work Location Assignment: **Mexico City. Must be able to work from assigned Pfizer office 2-3 days per week, or as needed by the business.** ## ## About the Role We are seeking an Associate passionate in AI that is familiar with modeling and optimization initiatives for Marketing and Sales. This role is ideal for technically strong analytics professional with some experience in 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 ·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. ·Mentor & Lead: Provide technical leadership to junior analysts, 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: 1+ years of experience in analytics, data science, or marketing measurement roles, ·Technical Skills: \- Strong expertise in Python (pandas, NumPy, stats models, scikit-learn, PyMC or similar Bayesian packages). \- Experience with SQL and cloud platforms (AWS
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