Manager, Data Science, AI
Pfizer
full-time
Posted on:
Location Type: Hybrid
Location: Mexico City • Mexico
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About the role
- Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics.
- Support the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.
- Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret.
- Build strong relationships with key stakeholders, effectively communicating the value proposition of data science.
- Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution and Market Research Insights counterparts to develop and execute a comprehensive brand analytics plan.
- Deliver consolidated insights and actionable recommendations to Commercial teams, ensuring alignment with strategic objectives and insights findings.
- Represent data science function and capabilities in Analytic POD meetings.
- Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives.
- Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
- Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively.
- Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making.
Requirements
- Minimum of bachelor’s degree with 3+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.
- Advanced degree preferred with 0~2 years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
- Experience using data science models to solve problems in an education or business environment setting.
- Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
- Experience with machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.
- Experience in understanding brand content, strategy, and tactics.
- Ability to effectively utilize dashboards and data products to derive insights.
- Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.
- Experience in management of secondary data with application of real-world data.
- Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics.
- Able to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics.
- Capable of describing relevant caveats in data or in a model and how they relate to business question.
- Ability to be flexible, prioritize multiple demands and deal with ambiguity.
Benefits
- Health insurance
- Professional development opportunities
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencepredictive algorithmsmachine learningdata miningstatisticsSQLNoSQLHadoopSnowflakeDatabricks
Soft Skills
communicationcollaborationrelationship buildingproblem-solvingflexibilityprioritizationinterpretationsynthesisguidanceinsight delivery