Senior Data Science Manager, Growth & Retention Marketing
Company: PrizePicks
Location: Atlanta, GA (Remote)
Salary: $180,000 - $210,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-05-12
About this role
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Growth & Retention Marketing, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.
# What you'll do:
- Lead a team of data scientists, covering topics across retention and acquisition marketing
- Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
- Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
- Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
- Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
- Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
- Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
# What you have:
- 7+ years of experience in data science & analytics
- 5+ years of experience in a marketing, customer, or revenue data-related role
- 3+ years of experience managing or ...