Associate Data Scientist

Summary

Join PrizePicks, the fastest-growing sports company in North America, and become a key member of the Analytics Team. You will build and maintain analytics tools and workflows, working closely with data scientists and cross-departmental directors. Your responsibilities include building machine learning models, cleaning datasets, contributing to simulation infrastructure, and providing business insights to drive revenue growth and optimize marketing. This role requires advanced knowledge of machine learning, data analysis, and statistics, particularly within the context of professional sports, especially the NFL. The ideal candidate will have experience with Python, SQL, and relational databases. PrizePicks offers a competitive salary, comprehensive benefits, and a flexible work environment.

Requirements

• Advanced knowledge of machine learning, data analysis, and statistical modeling, specifically with respect to professional sports, particularly NFL
• Proficiency in statistics and programming in Python
• Practical experience with relational databases like PostgreSQL
• Minimum 1+ years of experience in a related data science role, ideally within the professional sports industry
• Familiarity with advanced sports statistics and analytics platforms used in professional football
• Experience working with real-time sports data feeds and APIs
• Knowledge of sports betting concepts and daily fantasy sports

Responsibilities

• Build and design machine learning models specific to NFL football
• Clean datasets and productionize SQL queries to ensure stable model training pipelines
• Contribute to PrizePicks’ simulation infrastructure to create projections for NFL football games

Preferred Qualifications

• Demonstrable history building machine learning models from scratch
• Exposure to lower-level programming languages (Java, Rust, C++, etc.)
• Submissions to public sports analytics events like the Big Data Bowl
• Prior work experience within a professional football organization
• Computer science/software engineering experience/coursework
• Experience with data visualization and report building is a plus

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