Swish is a machine learning platform for sports betting, fantasy, and data.
We are a team of data scientists, engineers, analytics nerds and designers.
Our data science team leverages the most advanced data processing technologies to consistently iterate on millions of sports-specific algorithms.
Data presentation, manipulation, and clarity is the focus of our simple interface design across multiple digital platforms.
Full-stack Data & Machine Learning Engineer
San Francisco, CA
Swish Engineering is a high-performance team focused on pioneering the next generation of predictive analytics sports data products. We're looking for team players with authentic passion for accurate predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our engineering challenges are unique, so you should be comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
As a member of our data analytics/machine-learning team, you'll have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings. Our team is continually delivering the most innovative sports prediction analytics products in the consumer and enterprise marketplaces for new content creation, gamification, fantasy sports and sports betting experiences.
Just some of the things you'll work on:
The kinds of skills we're looking for: