Company Description
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.
Duties:
Develop high-performance and low-latency products to verify results and provide reliability for in-game play
Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure
Design core, backend software components, and code primarily using Rust
Building internal and external tools to support Swish’s live trading platform
Source origins of data inaccuracies through data pipeline dependencies and python code base
Use extensive experience to build, test, debug, and deploy production-grade components
Proactively improve our Rust and Python codebase
Production model feature deep dives to explain project market lines
Requirements:
Bachelor's Degree in Computer Science, Data Science or similar major
Minimum of 1 year of software engineering experience with Rust; 3 preferred
Minimum of 3 years of experience developing high-performance, scalable, and reliable production systems
Data Extraction, Wrangling and Analysis in Python
Strong SQL querying skills
Ability to work independently and take initiative
Preferred:
Experience with Apache Kafka and comparable systems
Exposure to the data science process and tech stack
Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
Base salary: Starting at $170,000 base
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.Skills Required
- Bachelor's Degree in Computer Science, Data Science, or similar
- Minimum of 1 year software engineering experience with Rust
- Minimum of 3 years developing high-performance, scalable, reliable production systems
- Data extraction, wrangling, and analysis in Python
- Strong SQL querying skills
- Ability to work independently and take initiative
- 3+ years of Rust experience
- Experience with Apache Kafka or comparable systems
- Exposure to the data science process and tech stack
- Deep knowledge of football, basketball, or baseball (professional or college)
What We Do
Swish Analytics builds predictive sports-analytics products and B2B betting solutions, specializing in odds origination, risk management, and trading software for major U.S. sports. Using machine learning and statistical modeling, it prices player propositions and delivers real-time predictive data for sportsbooks, fantasy platforms, and sports organizations across U.S. and international markets, offering enterprise APIs and analytics to drive automated oddsmaking and trading decisions.
