Quantitative Researcher (NBA)
Cleat Street Technologies
On-site
San Francisco, California, United States
$90,000 - $108,000 USD yearly
Data Analytics
Cleat Street is a sports analytics company that leverages proprietary technologies in sports prediction markets. Our mission is to be the most innovative sports analytics company in the world. We want to share this expertise with our customers so they can make smarter betting decisions. Learn more at cleatstreet.com
What We Are Looking For
Cleat Street is looking for an experienced analyst to build some of the most innovative predictive sports models in the world. Professional experience within the fields of predictive sports analytics, applied statistics and probabilistic modeling or financial and economic theory is particularly relevant for this position.
In joining Cleat Street, you will be given the opportunity to develop best-in-class game and player-level predictions. Your prediction models will be directly monetized through our users. The ideal candidate will appreciate the real-time performance feedback loop unique to sports betting and embraces our core values of excellence, transparency, and innovation.
Role and Responsibilities
The person in this role will work with the director of quantitative research in the development and deployment of proprietary predictive models for the NBA in preparation for the 2025-26 NBA season and beyond. This will include:
- Analyzing and interpreting a wide range of sports datasets
- Researching, building, testing, and deploying statistical and/or machine learning models
- Understanding the variance in sporting event outcomes
- Digesting and interpreting real-time market data to inform key forecast assumptions
- Educating colleagues on latest statistical and data processing techniques
- Communicating research findings to key stakeholders across the organization
Requirements
- Deep knowledge and passion for basketball and the NBA
- Consistently available to work nights and weekends throughout the NBA season
- Regularly present onsite during the week
- 1-3 years of professional experience in sports analytics, statistical analysis or financial asset valuation
- Degree in Statistics, Computer Science, Data Science, Actuarial Sciences, Econometrics or related quantitative field
- Proficiency in Microsoft Excel, SQL and R or Python
- Familiarity with relational databases and various data infrastructure tools
- Experience in Bayesian statistics and a variety of machine learning frameworks
- A naturally inquisitive and problem-solving mindset
- Excellent verbal and written communication skills, including ability to clearly communicate complex information
Compensation and Benefits
- $90,000 - $108,000 with up to 100% bonus target
- Competitive 401k plan
- Medical, dental, and vision healthcare coverage
- Unlimited PTO
- Monthly stipend for attending sporting events