At SIG Sports, our team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team, you will be part of a group that is passionate about mathematics, gaming, and technology.
In this role, you will:
Immerse yourself in sports analytics research
Empirically test ideas using real industry data
Write programs to implement models and simulate outcomes
Discuss and collaborate with fellow researchers, traders, and technologists
What we're looking for:
PhD or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
Solid, analytical problem-solving skills
Excellent logical reasoning
Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
Experience in writing code to process and analyze large sets of data
Demonstrated experience working on sports analytics projects
Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
Intermittent international travel may be required.
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