[Hiring] Director of Data Science @Dotdash Meredith

Role Description

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.

• Build a deeper understanding of customers across product engagement, marketing response, and lifecycle behavior.
• Partner closely with Product, Marketing, and Editorial teams to turn data into actionable insights that drive growth.
• Work with Data Operations and Engineering to ensure models, measurement systems, and insights can scale effectively.
• Apply statistical modeling and machine learning to product and marketing challenges across customer segmentation, acquisition, engagement, retention, and lifetime value.
• Focus on mobile app experiences.
• Own models and analyses that support personalization, automated marketing, attribution, experimentation, and lifecycle optimization across apps, newsletters, and other customer touchpoints.
• Translate complex audience behavior into clear recommendations and measurable business impact.

Qualifications

• PhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience.
• 7+ years of experience in data science and machine learning with a strong focus in 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.
• Solid foundation in causal inference, survival analysis, and time series analysis.
• Strong proficiency in Python and SQL for data analysis and model development.
• Familiarity with Claude Code/Codex and their reliable use in a data science workflow.
• Strong strategic and operational capabilities.
• Excellent leadership and communication skills.
• Ability to communicate complex analyses clearly to non-technical marketing and business stakeholders.
• Drives adoption of new data science methods and technologies.

Requirements

• Experience with large-scale search and recommendation systems in media, e-commerce, or advertising space.
• Experience working with large-scale analytics platforms (e.g., BigQuery).
• Exposure to reinforcement learning or bandit approaches for personalization or offer optimization.
• Advanced experimentation techniques, including multivariate testing, factorial designs, and CUPED.
• Experience with Bayesian statistical methods for inference and decision-making under uncertainty.
• Experience with forecasting models and advanced lifecycle or retention modeling.
• Applied NLP experience for content classification, semantic search, or audience understanding.
• Track record of leading end-to-end data science projects from problem framing through deployment and impact measurement.
• Confidence and pride in representing Data Science as a strategic partner to Marketing and other business teams.

Benefits

• Salary: Remote: $175,000.00 - $210,000.00
• Medical, dental, vision, and prescription drug coverage.
• Unlimited paid time off (PTO).
• Adoption or surrogate assistance.
• Donation matching.
• Tuition reimbursement.
• Basic life insurance and accidental death & dismemberment coverage.
• Supplemental life and accident insurance.
• Commuter benefits.
• Short-term and long-term disability.
• Health savings and flexible spending accounts.
• Family care benefits.
• A generous 401K savings plan with a company match program.
• 10-12 paid holidays annually.
• Generous paid parental leave (birthing and non-birthing parents).
• Voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.