PrizePicksRemote
Senior Data Science Manager, Growth & Retention Marketing
United States of America
Full Time
3 weeks ago
$180,000 - $210,000 USD
No H1B
Key skills
Data ScienceMarketing Data AnalysisMachine LearningCausal InferenceDifference-in-DifferencesRegression DiscontinuitySynthetic ControlsStatistical ProficiencyPythonSQLAnalyticsLeadershipMentoringTeam Leadership
About this role
PrizePicks is the fastest-growing sports company in North America, recognized for its leading platform in Daily Fantasy Sports. The Senior Data Science Manager will lead a team to enhance marketing capabilities through machine learning model development and data analysis, driving better decision-making across the organization.
Responsibilities:
- 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
Requirements:
- 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
- Strong statistical proficiency
- Python for statistical computing, model development, and data visualization
- Advanced SQL
- Advanced degree preferred