Research & Experimentation Scientist (Swish Analytics Inc. – San Francisco, CA):
- Accelerate progress on our sports betting algorithms and models for increased accuracy and state of the art performance.
- Experiment with new ideas to create new tools, new feature sets, and reduce latency.
- Examine the integration and scaling of our real world operations, simulations, experiments, and demonstrations.
- Perform Python and Rust development using various machine learning and data science frameworks.
- Provide risk management guidance on methods for assessing and mitigating risk.
- Apply modern approaches to artificial intelligence and keep up to date with new approaches to inferential statistics, sampling, and experimental design.
- Develop or recommend analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
- Apply large scale data processing techniques to develop scalable advanced analytics including data mining and anomaly detection.
- Adhere to software engineering best practices and contribute to shared code repositories.
Position Requirements:
Bachelor’s degree in Data Analytics, Data Science, Computer Science or a related technical field, followed by four years of experience developing machine learning and statistical models. Experience, which may be gained concurrently, must include:
- 4 years experience developing decision-tree and neural-net based machine learning models to resolve modeling problems across major professional sports leagues, professional tennis, college basketball, or college football.
- 4 years experience utilizing Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods to build models and distributions.
- 4 years experience architecting and developing simulation based production grade software and designing distributed deployment systems to deploy software across Kubernetes clusters.
- 4 years experience developing runtime-efficient production grade for solutions for various problems, including data storage (AWS EFS) and cache-based data-lookup (ElasticCache, LMDB).
- 4 years experience utilizing relational SQL, Python, Airflow, Kubernetes and familiarity with monitoring tools such as DataDog.
- 4 years experience utilizing source control tools such as GitHub and related CI/CD processes.
- 4 years experience integrating various AWS products such as EFS, Elastic Cache, Athena, S3 and EKS into software applications.
May work from anywhere in the U.S.
Job Site:
300 Broadway Street, Suite 8, San Francisco, CA 94133
United States
