- Remote, United States
- Remote
- Full-time · Senior
- $160K per year
- 5+ years
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch to optimize the modeling process and improve Swish products.
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
- related technical subject area