To lead the team that advances the Marketing team’s capabilities, driving initiatives around machine learning model development & causal inference to enable better decision making at PrizePicks
Requirements
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
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, media mix modeling, and attribution
Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess the impact of efforts and drive outcomes
Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
Effectively manage projects, ensuring deadlines and objectives are met
Other
Proven experience (3+ years) in a people leadership role, managing and growing a team of data scientists in a marketing science / econometrics function
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
Must be authorized to work for any employer in the U.S.
