Data Scientist - Originations

PrizePicks•Atlanta, GA

2d•Hybrid

About The Position

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

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