remote
Manager Data Scientist - Philip Morris International
Data Scientist
Lead a data science team to develop predictive models and insights for a modern nicotine business, leveraging Python, SQL, and statistical techniques to drive product innovation and responsible marketing across the U.S. market.
About the role
Key Responsibilities
- Lead and mentor a cross‑functional data science team in developing advanced predictive models for product performance and consumer behavior.
- Design and implement end‑to‑end data pipelines using SQL and Python, ensuring data quality and accessibility for analytics.
- Collaborate with product, marketing, and regulatory teams to translate analytical findings into actionable business strategies.
- Present complex insights to senior stakeholders, translating technical results into clear, business‑oriented recommendations.
- Drive continuous improvement of analytical tools and processes, adopting best practices in model validation and deployment.
Requirements
- 10+ years of experience in data science or analytics, with at least 5 years in a managerial role.
- Proficiency in Python, SQL, and statistical modeling techniques.
- Strong background in machine learning, model deployment, and performance monitoring.
- Excellent communication skills and ability to influence cross‑functional teams.
- Experience in a regulated industry or with consumer‑facing products is a plus.
Skills
machine learningpythonsql