What you’ll do:

• Build, iterate, and launch models to a production environment focused on predicting outcomes in sports.
• Train machine learning models and build statistical modeling frameworks using custom methods, or using xgboost, sklearn, pytorch, etc.
• Manage SQL queries to ensure data pipelines are efficient, accurate, and up to date.
• Rigorously backtest models to ensure highly accurate predictions.

What You Have

• Demonstrable history of projects that are either sports-focused or are related to building novel approaches to machine learning.
• Strong technical or math/statistics background. Computer science, statistics, math, physics, economics, etc. 
• Strong coding skills and ability to code without being fully dependent on AI tools - Python, SQL.
• Interest in sports betting, prediction markets, financial markets, or fantasy sports.
• Proven ability to build sophisticated models, not just out of the box templates.
• Deep passion for sports. Not just a casual fan, but someone who deeply knows the ins and outs of a few sports.

What makes you stand out:

• Experience with lower-level programming languages - Rust, Java, C++.
• Demonstrable background/coursework building machine learning algorithms from scratch.
• Success in open-source projects e.g. Big Data Bowl, Kaggle, school research labs.
• Proven and verifiable background building algorithmic origination, modeling, or trading strategies.
• Work experience with a professional sports team.

Where you’ll live:

• This is a hybrid position based at our PrizePicks headquarters in Atlanta, GA. #LI-Hybrid