Swish Analytics
3 months ago
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. Were 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, thats 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:
- Bachelors Degree in Computer Science, Data Science or similar major
- Minimum of 1 year of software engineering experience with Rust; 3 years 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: $100,000-175,000 (encompasses multiple levels and depends on experience)