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Remote Data Science Sports Jobs in Utah (NOW HIRING)

University of Utah

Biostatisticians

Salt Lake City, UT · On-site +1

Remote in-state candidates preferred over remote out of state candidates. This position may require ... This position offers the opportunity to work closely with investigators, data scientists ...

United Soccer League (USL)

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

United Soccer League (USL)

$15.25 - $19/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

United Soccer League (USL)

$15.50 - $19.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

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All JobsData Science Sports JobsRemote Data Science Sports JobsRemote Data Science Sports Jobs in Utah

Remote Data Science Sports information

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

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

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Can data science be used in sports?

Data science is widely used in sports to analyze player performance, optimize strategies, and improve team decision-making. Sports data analysts and data scientists utilize tools like machine learning, statistical models, and data visualization to gain insights and enhance athletic outcomes.

Do sports teams hire remote data scientists?

Some sports teams and organizations hire remote data scientists to analyze player performance, game strategies, and fan engagement using data analytics tools. These roles often require skills in statistical modeling, machine learning, and programming languages like Python or R, and may involve collaboration with on-site staff or remote work environments.

How much do remote data science sports make?

Remote data science roles in sports typically have salaries ranging from $70,000 to $130,000 annually, depending on experience, education, and the complexity of projects. Senior positions or those requiring specialized skills in machine learning or sports analytics can earn higher compensation, often exceeding $150,000. These roles often require proficiency in programming languages like Python or R and familiarity with sports data sources and analytics tools.

What are the most commonly searched types of Data Science Sports jobs in Utah?

The most popular types of Data Science Sports jobs in Utah are:

What are popular job titles related to Remote Data Science Sports jobs in Utah?

For Remote Data Science Sports jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Sports jobs in Utah look for?

The top searched job categories for Remote Data Science Sports jobs in Utah are:

What cities in Utah are hiring for Remote Data Science Sports jobs?

Cities in Utah with the most Remote Data Science Sports job openings:

Remote Data Science Sports jobs near you
Infographic showing various Remote Data Science Sports job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Online Sweepstakes Reviewer (Remote) - Paid Contract Position

Signup Expert

Salt Lake City, UT • On-site, Remote

Contractor

Re-posted 13 days ago

Job description

Who We Are
Signup Expert is a growth agency that helps brands connect with top-tier people on the ground to grow and scale their businesses through grassroots execution. We specialize in sourcing, training, and managing reliable brand representatives who drive measurable results through hands-on work, local market insight, and direct user engagement.
We are currently hiring on behalf of a leading online sweepstakes review publisher to support ongoing content creation, platform testing, and digital growth initiatives within the iGaming industry.
The Opportunity
Are you interested in writing, digital content, or the fast-growing iGaming industry?
Signup Expert is seeking Online Sweepstakes Reviewers & Content Contributors to support one of our publishing partners by producing high-quality written reviews and evaluating online sweepstakes platforms.
This fully remote, flexible, contract-based role is ideal for individuals who want to:
  • Gain real-world digital publishing experience
  • Build a published content portfolio
  • Develop expertise in online sweepstakes platforms and user experience
  • Work independently in a performance-driven environment

What You'll Be Doing
Your responsibilities will include:
  • Testing online sweepstakes registration processes and user journeys
  • Reviewing sign-up flows, KYC requirements, deposit methods, and bonus activation
  • Evaluating platform usability, features, and overall user experience
  • Producing clear, well-structured reviews and editorial content in alignment with standardized templates and guidelines
  • Ensuring all content aligns with responsible gambling and regulatory guidelines
  • Documenting findings accurately and submitting deliverables on time
  • Representing Signup Expert and our publishing partners professionally

Who You Are
  • Interested in writing, digital media, or online publishing
  • Curious about online sweepstakes, sports, or the broader iGaming industry
  • A strong written communicator with excellent attention to detail
  • Reliable, organized, and comfortable working independently in a remote setting
  • Willing to follow compliance, responsible gambling, and content guidelines
  • Comfortable conducting online research and learning new platforms

No prior professional experience is required - training and structured guidance will be provided.
Compensation & Benefits
  • Contract / Freelance role with competitive pay (per review or hourly, depending on workload)
  • Performance-based bonus opportunities
  • Fully remote with flexible scheduling
  • Opportunity to build a real, published review portfolio
  • Hands-on experience in a fast-growing global industry

Ready to Join?
We're not just creating reviews - we're helping players make informed decisions in an industry that demands trust and transparency. If you're detail-oriented, curious, and excited to gain experience in creating online content in the iGaming industry, we'd love to hear from you!
Posting Notes: Content Writing, Digital Media, Online Publishing, iGaming, Sports Media, Remote Jobs
All testing and reviews are conducted following strict responsible standards and applicable regulatory guidelines.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply