Senior Data Science Manager, Growth & Retention Marketing
Lead a team of data scientists focused on marketing analytics for retention and acquisition. Oversee production ML models, causal inference projects, and LLM integration to drive marketing decisions and business outcomes. Requires 7+ years data science experience including 3+ years managing teams.
180k – 210k
Remote7+ YOEData Science
About the role
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 mentoring data scientists, analysts, or engineers
Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
Proven experience in building and implementing production-grade machine learning models in an operations support capacity
Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
Exceptional communicator, with experience presenting to senior leadership
Ability to influence cross-functional partners (Marketing, Finance, Product)
Comfortable balancing hands-on work with team leadership
Technical Skills
Strong statistical proficiency
Python for statistical computing, model development, and data visualization
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