[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.