Director of Data Science: Personalization & Growth (Remote)

People Inc.; United States; Remote; USD 175,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Unlimited PTO

401K with company match

Parental leave

Job summary

People Inc. is seeking a Director of Data Science to lead customer intelligence and personalization across our entertainment brands. You will build models and insights to guide product experiences and marketing campaigns, with emphasis on mobile apps and lifecycle optimization.

You’ll partner with Product, Marketing, and Editorial to translate data into actionable recommendations, drive growth, and scale data capabilities across teams.

Qualifications

• PhD or advanced degree in Data Science, Economics, Business Analytics, Mathematics, Statistics, or similar quantitative field, or equivalent experience.
• 7+ years of data science and ML with customer behavior focus.
• 5+ years of leading a team of data scientists.
• Strong Python and SQL skills.
• Experience with large-scale analytics platforms.

Responsibilities

• Lead and grow a data science team to develop predictive models for customer lifetime value.
• Analyze customer interactions across apps, web, social, and email to optimize engagement.
• Own product funnel and engagement analytics including onboarding, adoption, and retention.
• Develop customer segmentation models to inform content and product recommendations.
• Collaborate with Product and Editorial to translate insights into experiences across apps and newsletters.
• Design online A/B testing to measure impact of product changes and personalization.
• Ensure collaboration between data science and other departments; advocate for tools and resources.

Skills

Python

SQL

Leadership

Communication

Data-driven decision making

Collaboration

Education

PhD or advanced degree in Data Science or related field

Tools

BigQuery

Claude Code/Codex

Job description

People Inc. is seeking a Director of Data Science to lead customer intelligence and personalization across our entertainment brands. You will build models and insights to guide product experiences and marketing campaigns, with emphasis on mobile apps and lifecycle optimization.

You’ll partner with Product, Marketing, and Editorial to translate data into actionable recommendations, drive growth, and scale data capabilities across teams.