Data Science Director Lead

4 weeks ago


Beijing, Beijing, China Pfizer Full time

Job Overview

The Commercial Analytics & AI (CAAI) China team is responsible for delivering strategic recommendations on performance review, brand planning, operation planning, promotional resource allocation, field force sizing, segmentation/targeting, structural decisions, and digital strategies. The team leverages central expertise and existing tools to analyze secondary data across business units. We're seeking a Director, Data Science and AI Lead in China to create and deliver data-driven insights and AI-powered analytics tools to Pfizer's Commercial organization.

Key Responsibilities

  • Lead advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights.
  • Influence end-to-end delivery of data science insights, from framing the business question to delivering recommendations.
  • Break down technical concepts into digestible insights and guide diverse stakeholders on interpretation.
  • Continuously evaluate and enhance existing brand/data science capabilities, identifying opportunities for optimization and innovation.
  • Build strong relationships with key stakeholders, effectively communicating the value proposition of data science.

Requirements

  • Minimum of bachelor's degree with 10+ years of experience in related quantitative field.
  • Advanced degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field.
  • Extensive experience using data science models to solve problems in a business environment setting.

Desired Skills

  • Experience with influencing commercial strategies and tactics, preferably in pharmaceutical or healthcare industry.
  • Expertise with traditional SQL and modern NoSQL data stores, including SQL, and large-scale distributed systems.
  • Strong experience with machine learning technology, such as big data stack, Python, R, and visualization techniques.


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