Research & Experimentation Scientist

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

Salary Range:

$160,000 -  $199,500 per year

Full-time.

Job #046611-011.

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.