Senior Data Science Manager, Growth & Retention Marketing

Job Summary

The PrizePicks Analytics Team is seeking a Senior Data Science Manager, Growth & Retention Marketing to lead the team in advancing our Marketing capabilities through machine learning model development and causal inference.

About the Role

As a Senior Data Science Manager, Growth & Retention Marketing, you will oversee the development and maintenance of production-grade machine learning models, manage projects centered around marketing data analysis, mentor junior team members, and collaborate with senior leadership to align marketing data science efforts with overall company and marketing goals.

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

Skills

• Strong statistical proficiency
• Python for statistical computing, model development, and data visualization
• Advanced SQL

Qualifications

• Must be authorized to work for any employer in the U.S.
• We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Benefits

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)