Remote Director of Data Science: Customer Personalization

Dotdash Meredith; United States; Remote; USD 175,000 - 210,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Unlimited PTO

401K match

Job summary

People Inc. is seeking a Director of Data Science to lead customer intelligence and personalization for entertainment brands.

You will partner with Product, Marketing, and Editorial to transform data into actionable insights that drive growth and scalable measurement systems with Data Operations and Engineering. Responsibilities include building predictive models for CLTV, segmentation, and personalization across apps, newsletters, and touchpoints, plus designing experiments and driving adoption

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 focus on customer behavior, product analytics, and marketing problems.
• 5+ years of experience leading a team of data scientists.
• Strong proficiency in Python and SQL for data analysis and model development.

Responsibilities

• Lead and grow a data science team to develop predictive models estimating customer lifetime value.
• Analyze customer interactions across apps, web, social media, and email to optimize engagement.
• Own product funnel and engagement analysis including onboarding, feature adoption, and session behavior.
• Develop customer segmentation models to identify high-value users for content and product recommendations.
• Collaborate with Product and Editorial teams to translate insights into differentiated experiences across apps and newsletters.
• Design online A/B testing experiments to measure impact of product changes and personalization.

Skills

Leadership

Python

SQL

Data analysis

Education

PhD or advanced degree in Data Science or related

Tools

BigQuery

Claude Code/Codex

Job description

People Inc. is seeking a Director of Data Science to lead customer intelligence and personalization for entertainment brands.

You will partner with Product, Marketing, and Editorial to transform data into actionable insights that drive growth and scalable measurement systems with Data Operations and Engineering. Responsibilities include building predictive models for CLTV, segmentation, and personalization across apps, newsletters, and touchpoints, plus designing experiments and driving adoption