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Swish Analytics · 3 days ago
Research & Experimentation Scientist
San Francisco, CA
Full-time
Onsite
Senior Level
$160K/yr - $200K/yr
4+ years exp
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Responsibilities
Accelerate progress on 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 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.
Qualification
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Required
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.
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.
Company
Swish Analytics
Swish Analytics operates as machine learning system for sports.
11-50 employees
H1B Sponsorship
Swish Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$8.73MKey Investors
Telstra Ventures
2019-05-29Series B· $6.91M
2018-07-03Series Unknown· Undisclosed
2016-05-27Seed· $1.8M
Leadership Team
Corey Beaumont
Co-Founder and Head of Engineering
Robert Skoff
Co-Founder
Recent News
The Business Journals
2023-12-23
2023-08-17
Company data provided by crunchbase
