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NHL Data Scientist

Swish Analytics logo

Location
United States
Base Salary
107k-175k USD
Swish Analytics

Job Description

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 NHL Data Scientist 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.

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
  • Minimum of 1+ years of experience developing hockey or sports betting models at production scale
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 1+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs
  • Expertise with NHL rules and game flow
  • 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: $107,000-175,000

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.

Advice from our career coach

A successful applicant for the NHL Data Scientist position at Swish Analytics should be well-versed in data analytics, machine learning, and statistics, particularly in the realm of sports betting and NHL data. Here are some tips to help you stand out as an applicant:

  • Demonstrate a deep understanding of probability theory, machine learning, inferential statistics, Bayesian statistics, and Markov Chain Monte Carlo methods, particularly as they apply to sports betting models.
  • Showcase your experience in developing and delivering machine learning and statistical models at production scale, with a specific focus on hockey or other sports.
  • Highlight your expertise with NHL rules, game flow, and sports-specific domain knowledge.
  • Emphasize your proficiency in relational SQL and Python, as well as your experience with source control tools like GitHub and AWS environments.
  • Illustrate your strong communication skills, both to technical and non-technical audiences, and your ability to collaborate with cross-functional teams to solve complex problems and identify innovative solutions.

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About the job

Apr 17, 2024

Full-time

107k-175k USD

  1. US United States
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