Quantitative Researcher (NBA)

Cleat Street Technologies; San Francisco (CA); On-site; USD 90,000 - 108,000; Full time

Job summary

Cleat Street Technologies is seeking an experienced Quantitative Researcher to develop innovative predictive models for sports analytics. The ideal candidate will be knowledgeable about basketball and bring statistical expertise to analyze real-time data, supporting our mission to lead in sports prediction markets.

Benefits

Competitive 401k plan

Medical, dental, and vision healthcare coverage

Unlimited PTO

Monthly stipend for attending sporting events

Qualifications

• 1-3 years of experience in sports analytics or financial asset valuation.
• Familiarity with Bayesian statistics and machine learning frameworks.
• Deep knowledge of basketball and the NBA.

Responsibilities

• Analyze and interpret sports datasets for predictive models.
• Research and deploy statistical and machine learning models.
• Communicate research findings to stakeholders.

Skills

Statistical analysis

Predictive analytics

Machine learning

Problem-solving

Communication

Education

Degree in Statistics, Computer Science, Data Science, Actuarial Sciences, Econometrics

Tools

SQL

R

Python

Microsoft Excel

Job description

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 in San Francisco 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

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Quantitative Researcher • San Francisco, CA, United States