Swish Analytics

Sports Modeling Engineer (Rust)

Remote San Francisco, CA
USD 100k - 135k
Python C++ Rust Git Machine Learning
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Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

Swish Analytics is looking to hire a Sports Modeling Engineer to join our ever-growing team! This engineer will work closely with data scientists to build reliable, high-performance software at the core of Swish's product offering. Ideal candidates will have a solid understanding of popular US sports (football, basketball, baseball) and experience writing performance critical code. 


  • Turning modeling ideas into production software
  • Improve the reliability and performance of production modeling code
  • Adhere to software engineering best practices


  • Bachelor degree in computer science, mathematics or statistics
  • Minimum 1 year of relevant experience
  • Extensive knowledge of MLB, NBA, and NFL rules and game play is a must
  • Experience with code control tools, such as git, in a unix environment
  • Demonstrated experience of data structures and algorithms
  • Demonstrated experience of probability, statistics, and machine learning
  • Demonstrated scientific or data oriented experience in Python 
  • Demonstrable experience in C/C++/Rust (at least one)
  • Strong technical communication skills

$100,000 - $135,000

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.
Swish Analytics
Swish Analytics
Analytics Big Data Fantasy Sports Machine Learning Predictive Analytics Sports

2 applies


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