Senior Data Science Manager - Marketing Science

PrizePicks is the fastest-growing sports company in North America, recognized for its leading platform in Daily Fantasy Sports. As a Senior Data Science Manager in Marketing Science, you will lead a team focused on enhancing marketing capabilities through machine learning and data analysis to support strategic decision-making.

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
• 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