Remote Data Scientist - Simulation/Sports Modeling Job in United States PrizePicks

Who you are

• Advanced knowledge of machine learning, data analysis, and statistical modeling, specifically with respect to professional sports
• Proficiency in statistics and statistical software applications, such as Python or R
• Practical experience with relational databases like PostgreSQL
• Experience with data visualization and report building is a plus
• 2+ years of experience in a professional data science or engineering environment
• Advanced knowledge of sports and their related statistics and modeling methodologies
• Familiarity with advanced sports statistics and analytics platforms used in professional basketball or football
• Experience working with real-time sports data feeds and APIs
• Knowledge of sports betting concepts and daily fantasy sports a plus

Desirables

• Experience with Rust, C++, Java
• Have previously written and deployed production level code or machine learning models
• Experience within a professional sports organization

What the job involves

• Write complex code to model specific situations in sporting events
• Develop custom data models and algorithms, focused on accurately projecting player statistics within full game simulations
• Design processes and tools for monitoring and analyzing model performance and data accuracy
• Contribute to research and innovation in sports data science initiatives