Data Scientist
$150,000–$150,000 year
RemoteUnited States or Canada
Job Summary
Develop infrastructure for trader automation and system performance tracking while building high-performance, low-latency products to react to external and internal signals. Analyze live-streaming data to turn it into actionable decisions and design tests to detect unexpected model changes from manual interactions. Build, test, debug, and deploy production-grade components, ideating and improving machine learning and statistical models that drive core algorithms. Develop contextualized feature sets using sports-specific domain knowledge and contribute across all stages of model development from proof-of-concept to deployment. Assess model performance, identify weaknesses, and direct development efforts based on rigorous experimentation insights. Document work clearly for technical and non-technical partners. This role is remote from the USA or Canada.
Required Qualifications
- Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field
- 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting
- Experience in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods
- Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory
- Experience with Python and relational SQL
- Strong foundation with source control (GitHub) and related CI/CD processes
- Strong foundation working in AWS environments
- Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences
Desired Qualifications
- Master's strongly preferred
- Ideal candidates will have experience with Kafka, Docker, and Kubernetes
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