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Remote Sport Data Journalist Jobs (NOW HIRING)

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 ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Science Reporter

Boston, MA · On-site +1

$76K - $107K/yr

Remote or hybrid work are not an option. As is the case for every member of the Communications team ... Data journalism or basic visual storytelling skills * Knowledge of SEO and audience engagement ...

QUALIFICATIONS * Bachelor's degree in Television/Film Production, Broadcast Journalism ... Basic understanding of remote production trucks and their workflows * Solid computer skills ...

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

... Sports Data teams to ship high-quality, domain-aware, and trustworthy AI experiences ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

GAMB) is a multi-award winning provider of marketing and sports data services looking for ... Flexible work environment with the option for remote work * Lifestyle Allowance/Lifestyle Spending ...

Location US-Remote Job Post Information* : External Company Name Oak View Group Job Post ... Experience using and analyzing data . * A team-oriented person. * Journalism and music backgrounds ...

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Remote Sport Data Journalist information

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$30K

$61K

$131K

How much do remote sport data journalist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote sport data journalist in the United States is $60,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $79,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Sport Data Journalist vs Remote Sports Data Analyst?

AspectRemote Sport Data JournalistRemote Sports Data Analyst
CredentialsJournalism degree, sports reporting experienceStatistics, data analysis, or related degree
Work EnvironmentMedia outlets, sports websites, freelanceTeams, sports organizations, media companies
Industry UsageReporting sports news, storytellingAnalyzing sports data, performance metrics
Search & Comparison IntentSports reporting, journalism rolesData analysis, sports statistics roles

The Remote Sport Data Journalist primarily focuses on reporting and storytelling about sports events, often working in media outlets or freelance. In contrast, the Remote Sports Data Analyst concentrates on analyzing sports data and performance metrics to inform decisions. While both roles require familiarity with sports and data, journalists emphasize communication skills and reporting, whereas analysts focus on technical data skills and statistical analysis.

What are the key skills and qualifications needed to thrive as a Remote Sport Data Journalist, and why are they important?

To thrive as a Remote Sport Data Journalist, you need a solid understanding of various sports, strong analytical abilities, and attention to detail, often complemented by a degree in journalism, communications, or a related field. Familiarity with live data collection tools, sports databases, and content management systems is typically required. Excellent written communication, time management, and the ability to work independently under tight deadlines are standout soft skills for this role. These abilities ensure accurate, timely reporting and high-quality coverage that engages audiences and supports data-driven decision-making in sports media.

How does a Remote Sport Data Journalist typically collaborate with editors and other journalists while working offsite?

Remote Sport Data Journalists commonly use digital communication tools, such as messaging apps, video calls, and collaborative platforms, to stay connected with editors and fellow journalists. Coordination is key, especially when covering live events, so clear communication about deadlines, data accuracy, and content requirements is essential. You'll often participate in virtual editorial meetings, share updates in real time, and work within cloud-based systems to submit your work. This collaborative structure ensures that, despite being remote, your contributions are well-integrated into the broader reporting team.

What is a Remote Sport Data Journalist?

A Remote Sport Data Journalist is a professional who gathers, analyzes, and reports sports data and statistics, typically while working from a remote location. They cover live sporting events, update real-time scores, and provide accurate information for media outlets, betting companies, or sports organizations. Their work involves watching games, recording key data points, and sometimes writing reports or articles about the events. This role requires a solid understanding of the sport, attention to detail, and the ability to work independently. Remote Sport Data Journalists play a crucial role in delivering timely and reliable sports information to a wide audience.
More about Remote Sport Data Journalist jobs
What cities are hiring for Remote Sport Data Journalist jobs? Cities with the most Remote Sport Data Journalist job openings:
What are the most commonly searched types of Sport Data Journalist jobs? The most popular types of Sport Data Journalist jobs are:
What states have the most Remote Sport Data Journalist jobs? States with the most job openings for Remote Sport Data Journalist jobs include:
Infographic showing various Remote Sport Data Journalist job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $60,979 per year, or $29.3 per hour.
Tennis Data Scientist

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Posted 21 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