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NFL Data Scientist

Remote, USA Full-time Posted 2026-07-28

reputed company 

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

Job reputed company

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

Duties:

  • Ideate, reputed company and improve machine learning and statistical models that drive Swish’s reputed company algorithms for producing state-of-the-art sports betting products.
  • reputed company contextualized feature sets using sports specific domain knowledge.
  • Contribute to reputed company stages of model development, from creating reputed company-of-concepts and beta testing, to partnering with data engineering and product teams to reputed company new models.
  • reputed company 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 reputed company repositories.
  • Document modeling work and present to stakeholders and other techni

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