Director, Data Science
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 optimization across apps, newsletters, and other customer touchpoints, translating complex audience behavior into clear recommendations and measurable business impact.
Schedule Requirements:
In-office Expectations:
This position is fully remote with no in-office requirements, (might require coming into an office periodically for team meetings, etc.)
About The Team | The Team and/or Brand:
People Inc. is the largest premium publisher in the world. Every day, tens of millions of people come to us for help and inspiration. Our library of hundreds of thousands of articles helps our users understand how to deal with day-to-day challenges. You will work with a team of data scientists, collaborating with cross-functional groups to leverage this incredible dataset to understand both our content and our users' needs. This knowledge will be used to identify and build out new products that leverage the behavioral information within our extensive data.
About The Position’s Contributions:
Weight % Accountabilities, Actions, and Expected Measurable Results
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Lead and grow a data science team to develop predictive models that estimate customer lifetime value using advanced statistical and machine learning techniques.
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Analyze and understand customer interactions across app, web, social media, and email touchpoints to identify and optimize engagement opportunities.
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Own product funnel and engagement analysis, including onboarding completion, feature adoption, feature stickiness, and session behavior, as distinct from marketing-funnel metrics such as acquisition and retention.
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Leverage data-driven insights to build customer segmentation models, identifying high-value users and informing content and product recommendations.
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Partner with Product and Editorial teams to translate user understanding into differentiated experiences across the app, newsletters, and other customer interactions, feeding insights directly into the product development cycle. This includes the sizing of opportunities and assessment of product success.
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Design online A/B testing experiments to measure the impact of product changes, personalization, and full-funnel marketing interventions.
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Ensure effective collaboration between data science teams and other departments.
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Advocate for resources and tools to advance data capabilities.
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Align data initiatives with company objectives.
The Role’s Minimum Qualifications and Job Requirements:
Education:
PhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience.
Experience:
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7+ years of experience in data science and machine learning with a strong focus in the area of customer behavior, product analytics, and marketin