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Remote Data Science Sports Betting Jobs (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Seven Points Capital

Sports Betting / Traders

Remote Description This is a new position for traders that understand the Sportsbook business ... Key Responsibilities • Interpret data and develop recommendations based on findings • Develop ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Deep understanding of sports betting and odds origination * Passion and intimate knowledge of the ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$80K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Deep understanding of sports betting and odds origination * Passion and intimate knowledge of the ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Deep understanding of sports betting and odds origination * Passion and intimate knowledge of the ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Deep understanding of sports betting and odds origination * Passion and intimate knowledge of the ...

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All JobsRemote Data Science Sports Betting Jobs

Remote Data Science Sports Betting information

What are the key skills and qualifications needed to thrive as a Remote Data Science Sports Betting professional, and why are they important?

To thrive in Remote Data Science Sports Betting, you need a solid background in statistics, probability, and data analysis, often supported by a degree in mathematics, statistics, or computer science. Proficiency in programming languages like Python or R, experience with machine learning frameworks, and familiarity with sports data APIs and databases are commonly required. Strong critical thinking, attention to detail, and effective communication skills help you interpret data accurately and share actionable insights with stakeholders. These skills are crucial for building predictive models, identifying value bets, and driving successful outcomes in a competitive, data-driven industry.

How does a remote data science professional in sports betting typically collaborate with cross-functional teams?

Remote data science professionals in sports betting often work closely with product managers, software engineers, and trading teams to develop predictive models and data-driven strategies. Collaboration is usually facilitated through regular virtual meetings, shared project management tools, and documentation platforms. Clear communication and timely updates are vital, as model outputs can directly impact betting decisions and platform features. Building strong relationships remotely helps ensure alignment on goals and quick iteration on analytical projects.

What is a Remote Data Science Sports Betting job?

A Remote Data Science Sports Betting job involves using data analysis, statistical modeling, and machine learning to predict sports outcomes or optimize betting strategies. Professionals in this role gather and analyze large datasets related to sports events, player statistics, and betting markets, often working for online sportsbooks or analytics firms. Their insights help companies set odds, manage risk, and improve profitability. This job can be done from anywhere with internet access, allowing for flexible work arrangements.

What is the difference between Remote Data Science Sports Betting vs Remote Data Analysis Sports Betting?

AspectRemote Data Science Sports BettingRemote Data Analysis Sports Betting
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, often with data scientists and developersIndividual or team-based analysis, often with business stakeholders
Industry UsageUsed in developing predictive models for betting odds and strategiesUsed in interpreting data trends and reporting for betting companies

Remote Data Science Sports Betting focuses on building predictive models and advanced analytics, while Remote Data Analysis Sports Betting emphasizes interpreting data and generating reports. Both roles require strong analytical skills but differ in technical complexity and focus.

More about Remote Data Science Sports Betting jobs
What cities are hiring for Remote Data Science Sports Betting jobs? Cities with the most Remote Data Science Sports Betting job openings:
What are the most commonly searched types of Data Science Sports Betting jobs? The most popular types of Data Science Sports Betting jobs are:
What states have the most Remote Data Science Sports Betting jobs? States with the most job openings for Remote Data Science Sports Betting jobs include:
What job categories do people searching Remote Data Science Sports Betting jobs look for? The top searched job categories for Remote Data Science Sports Betting jobs are:
Remote Data Science Sports Betting jobs near you
Infographic showing various Remote Data Science Sports Betting job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Tennis Data Scientist

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Posted 27 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 a Tennis 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 Tennis 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: $135,000 - $190,000
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 Tennis Team Locations San Francisco, CA - Remote Remote status Fully Remote

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