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About the role
People Inc. is America’s largest print and digital publisher, reaching tens of millions of readers every day. We’re hiring a Director of Data Science to lead customer intelligence and personalization for our entertainment brands, helping shape products and experiences that inform, engage, and inspire our audiences.
What they're looking for
- 7+ years of experience in data science and machine learning with a strong focus in the area of customer behavior, product analytics, and marketing-focused problems
- 5+ years of experience leading a team of data scientists
- Ability to lead product and funnel analytics on web and mobile platforms with a focus on providing actionable insights, not just data outputs
- Solid foundation in causal inference, survival analysis, and time series analysis, especially as applied to marketing and customer behavior
- Strong proficiency in Python and SQL for data analysis and model development
- Familiarity with Claude Code/Codex and how they can be used reliably (and where they fail) in a data science workflow
More about this role
Job Title
Director, Data Science
Job Description
About The Position | Major Goals and Objectives and Location Requirements:
People Inc. is America’s largest print and digital publisher, reaching tens of millions of readers every day. We’re hiring a Director of Data Science to lead customer intelligence and personalization for our entertainment brands, helping shape products and experiences that inform, engage, and inspire our audiences.
In this role, you’ll build a deeper understanding of our customers across product engagement, marketing response, and lifecycle behavior. You’ll partner closely with Product, Marketing, and Editorial teams to turn data into actionable insights that drive growth, while working with Data Operations and Engineering to ensure our models, measurement systems, and insights can scale effectively.
You’ll apply statistical modeling and machine learning to product and marketing challenges across customer segmentation, acquisition, engagement, retention, and lifetime value, with a particular focus on mobile app experiences. You’ll own models and analyses that support personalization, automated marketing, attribution, experimentation, and lifecycle...
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