Product Scientist @ Swish Analytics | Jobright.ai
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Swish Analytics · 2 days ago

Product Scientist

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Responsibilities

Accelerate progress on sports betting algorithms and models for increased accuracy and state-of-the-art performance.
Apply large scale data processing techniques to develop scalable and innovative sports betting products.
Stay updated with new approaches to inferential statistics, sampling, and experimental design.
Examine the integration and scaling of real-world operations, simulations, experiments, and demonstrations.
Develop using various machine learning and data science frameworks.
Provide risk management guidance on methods for assessing and mitigating risk.
Develop or recommend analytic approaches or solutions to problems for which information is incomplete or no precedent exists.
Adhere to software engineering best practices and contribute to shared code repositories.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningStatistical AnalysisProbability TheoryPythonSQLGitHubCI/CDAWSProblem-SolvingLeadershipInnovationCommunicationRisk ManagementAnalytic ApproachesSolution Development

Required

Bachelor degree in Computer Science, Applied Math, Data Analytics, Data Science or related technical subject area; Master degree highly preferred
5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical products to serve business needs
Knowledge in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
Advanced Python & SQL
Experience with source control tools such as GitHub and related CI/CD processes
Experience working in AWS environments
Proven track record of strong leadership skills; Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
Excellent communication skills to both technical and non-technical audiences

Preferred

Master degree in Computer Science, Applied Math, Data Analytics, Data Science or related technical subject area
Experience with risk management guidance on methods for assessing and mitigating risk
Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists

Company

Swish Analytics

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Swish Analytics operates as machine learning system for sports.

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 Stage
Total Funding
$8.73M
Key Investors
Telstra Ventures
2019-05-29Series B· $6.91M
2018-07-03Series Unknown· Undisclosed
2016-05-27Seed· $1.8M

Leadership Team

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Corey Beaumont
Co-Founder and Head of Engineering
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Robert Skoff
Co-Founder
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Company data provided by crunchbase
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