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Remote Nfl Engineering Jobs in California (NOW HIRING)

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... This is a remote position. Duties * Support production systems and help triage issues during live ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD ... While this position is considered "remote" in that VALD does not operate a local office in every ...

Remote Nfl Engineering information

What is the difference between Remote Nfl Engineering vs Remote Software Engineer?

AspectRemote Nfl EngineeringRemote Software Engineer
Required CredentialsEngineering degree, NFL-specific knowledgeComputer science degree, coding skills
Work EnvironmentSports technology, NFL projectsVarious industries, tech companies
Employer & Industry UsagePrimarily NFL teams and sports tech firmsTech companies, startups, enterprises
Common Search & Comparison IntentUnderstanding NFL-specific engineering rolesGeneral software development roles

Remote Nfl Engineering focuses on developing technology solutions tailored for the NFL industry, often requiring sports-specific knowledge. In contrast, Remote Software Engineer roles are broader, covering various industries and projects. While both roles involve engineering skills, the NFL-specific position emphasizes sports tech applications, making it more specialized compared to the general software engineering role.

What are the most commonly searched types of Nfl Engineering jobs in California? The most popular types of Nfl Engineering jobs in California are:
What are popular job titles related to Remote Nfl Engineering jobs in California? For Remote Nfl Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Nfl Engineering jobs in California look for? The top searched job categories for Remote Nfl Engineering jobs in California are:
What cities in California are hiring for Remote Nfl Engineering jobs? Cities in California with the most Remote Nfl Engineering job openings:
Infographic showing various Remote Nfl Engineering job openings in California as of June 2026, with employment types broken down into 5% Full Time, 57% Part Time, 5% Temporary, and 33% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 7 days ago


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 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