Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
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)
- Annual performance reviews with opportunities for growth and career development
Company Overview