Associate Data Scientist - Originations

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, Scikit-learn, PyTorch, etc.
• Manage SQL queries to ensure data pipelines are efficient, accurate, and up to date.
• Rigorously backtest models to ensure highly accurate predictions.

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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 the 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 several 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.

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Location & Compensation

Where You’ll Live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. (#LI-Remote)

Working at PrizePicks:

• Salary Range: The typical salary range for this position is $85,000 to $115,000.
• Note: Actual pay depends on specific work location, skills, experience, and education. Your recruiter will provide specific pay range details for your location during the hiring process.