Associate Data Scientist - Originations
New
P
PrizePicksDaily Fantasy Sports
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.Full-TimeMiddle
Salary$85,000 to $115,000
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Job Details
- Required Skills
- PythonSQLMachine LearningPyTorchscikit-learn
Requirements
- Strong technical or math/statistics background (Computer science, statistics, math, physics, economics, etc.).
- Strong coding skills in Python and SQL, with the ability to code without being fully dependent on AI tools.
- Demonstrable history of projects that are either sports-focused or are related to building novel approaches to machine learning.
- Proven ability to build sophisticated models, not just out of the box templates.
- Deep passion for sports with knowledge of the ins and outs of a few sports.
- Interest in sports betting, prediction markets, financial markets, or fantasy sports.
- Experience with lower-level programming languages (Rust, Java, C++) is a plus.
- Demonstrable background building machine learning algorithms from scratch.
- Success in open-source projects or Kaggle competitions.
- Background building algorithmic origination, modeling, or trading strategies.
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.
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