- Remote
- Remote
- Full-time · Senior
- $160K–$160K per year
- 5+ years
Design, prototype, implement, evaluate, and optimize systems to generate sports datasets and predictions with high accuracy and low latency.
Compensation
Base salary: starting at $160,000 base plus bonus potential
Responsibilities
- Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
- Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
- Build, test, deploy and maintain production systems.
- Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
- Support maintenance and optimization of cloud-native EDW and ETL solutions.
Requirements
- Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
- Nice to have: Rust