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Mathematics
Real-time
Algorithms
Art
Testing
Data Engineering
Management
Software Engineering
Modeling
Data Analysis
Computer Science
Probability
Statistics
Markov Chain
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Summary

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.

Duties:

Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
Develop contextualized feature sets using sports specific domain knowledge.
Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
Adhere to software engineering best practices and contribute to shared code repositories.
Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
Experience with relational SQL & Python
Experience with source control tools such as GitHub and related CI/CD processes
Experience working in AWS environments etc
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

Base salary: Starting at $140,000
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.

Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184438
Position Id: af4fd0d84548565d44919c5f4838a800
Posted 3 days ago

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