Manager, Marketing Data Science
Description:
• PrizePicks is a fast-growing sports company in North America and the leading platform for Daily Fantasy Sports.
• The PrizePicks Analytics Team builds and maintains analytical tools and products to support the PrizePicks business, with data at the core.
• As Manager, Marketing Data Science, you will lead ML model development and causal inference initiatives to enable better marketing decision-making.
• Lead a team of data scientists across retention and acquisition marketing; Oversee development and maintenance of production-grade ML models (CLV, segmentation, media mix modeling, attribution); Manage projects centered around marketing data analysis using causal inference; Mentor junior team members; Ensure deadlines and objectives are met; Collaborate with senior leadership to align marketing data science with company goals
Requirements:
• Proven experience (3+ years) in a people leadership role, managing and growing a team of data scientists in a marketing science / econometrics function
• 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 machine learning models, and in performing data analysis and statistical modeling, with a focus on predictive behavioral data (CLV, Churn, Personalization, Segmentation)
• Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
• Proficiency in statistics, and ability to use programming languages (i.e. Python, R) for statistical computing, model development, and data visualization
• Advanced knowledge of SQL
• Strong communication skills, both written and oral
• Outstanding analytical problem solving capabilities
• Proven track record of successfully delivering large-scale data science projects on time and within budget
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
Apply Now
Apply Now
• PrizePicks is a fast-growing sports company in North America and the leading platform for Daily Fantasy Sports.
• The PrizePicks Analytics Team builds and maintains analytical tools and products to support the PrizePicks business, with data at the core.
• As Manager, Marketing Data Science, you will lead ML model development and causal inference initiatives to enable better marketing decision-making.
• Lead a team of data scientists across retention and acquisition marketing; Oversee development and maintenance of production-grade ML models (CLV, segmentation, media mix modeling, attribution); Manage projects centered around marketing data analysis using causal inference; Mentor junior team members; Ensure deadlines and objectives are met; Collaborate with senior leadership to align marketing data science with company goals
Requirements:
• Proven experience (3+ years) in a people leadership role, managing and growing a team of data scientists in a marketing science / econometrics function
• 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 machine learning models, and in performing data analysis and statistical modeling, with a focus on predictive behavioral data (CLV, Churn, Personalization, Segmentation)
• Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
• Proficiency in statistics, and ability to use programming languages (i.e. Python, R) for statistical computing, model development, and data visualization
• Advanced knowledge of SQL
• Strong communication skills, both written and oral
• Outstanding analytical problem solving capabilities
• Proven track record of successfully delivering large-scale data science projects on time and within budget
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
Apply Now
Apply Now