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Freelance Data Science Sports Jobs (NOW HIRING)

StubHub

Data Science Manager

New York, NY · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most ...

StubHub

Data Science Manager

New York, NY · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most ...

Alignerr

Data Scientist (Masters)

Miami, FL · Remote

Freelance autonomy with the structure of meaningful, high-impact technical work * Make a tangible contribution to how AI understands and applies data science at scale * Potential for ongoing contract ...

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

Freelance autonomy with meaningful, intellectually engaging work * High-impact contributions: your expertise directly shapes how advanced AI systems reason about data science * Potential for ongoing ...

StubHub

Data Science Manager

Los Angeles, CA · On-site

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most ...

StubHub

Data Science Manager

Los Angeles, CA · On-site +1

$300K - $400K/yr

The Data Science team, a part of the broader StubHub Data organization, is looking for an ... sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most ...

FanDuel

Risk Data Science, Director

Jersey City, NJ · On-site

... Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role ... The role requires a strong knowledge of sports betting proven management experience. You will be a ...

Alignerr

Freelance autonomy with the structure of meaningful, technically rigorous work * Make a direct, measurable impact on how the next generation of AI understands and applies data science * Potential for ...

Alignerr

Data Scientist (Masters)

Dallas, TX · Remote

Design Advanced Challenges - Create complex, domain-spanning data science problems covering ... Freelance autonomy with meaningful, intellectually stimulating work * Direct, hands-on engagement ...

AEG Presents

$130K/yr

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. We're hiring a Data Scientist to support our Sports ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

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 ...

Inizio Partners Corp

Data Scientist

New York, NY · Hybrid

Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions. * Design and build end ...

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All JobsFreelance Data Science Sports Jobs

Freelance Data Science Sports information

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$14

$47

$132

How much do freelance data science sports jobs pay per hour?

As of May 28, 2026, the average hourly pay for freelance data science sports in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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

To thrive as a Freelance Data Science Sports professional, you need solid statistical analysis skills, proficiency in data manipulation, and a strong understanding of sports analytics, typically supported by a degree in statistics, mathematics, or computer science. Mastery of tools such as Python or R, data visualization platforms, and experience with sports data APIs are highly valuable. Strong communication, problem-solving, and self-management skills help you effectively interpret data insights and manage client relationships. These skills are crucial for delivering actionable insights and maintaining client satisfaction in a dynamic, results-driven industry.

What are some common challenges freelance data scientists face when working on sports analytics projects?

Freelance data scientists in the sports industry often encounter challenges like accessing high-quality, up-to-date datasets, as sports organizations may have strict data privacy policies. Additionally, communicating complex analytical findings to non-technical stakeholders, such as coaches or athletes, requires strong visualization and storytelling skills. Freelancers must also effectively manage their time and deliverables, as project scopes and timelines can change rapidly depending on client needs and sporting seasons.

What is a Freelance Data Science Sports professional?

A Freelance Data Science Sports professional is an independent contractor who uses data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze and interpret sports data. They work with sports organizations, teams, media companies, or betting agencies to help improve performance, make predictions, or extract insights from game statistics. Their projects can range from player performance analysis to developing predictive models for game outcomes. Freelance professionals typically manage their own workloads and clients, offering flexibility and specialized expertise.

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

AspectFreelance Data Science SportsFreelance Data Analysis Sports
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, basic statistical analysis, reporting
Work EnvironmentProject-based, remote or on-site, collaboration with sports teams or companiesRemote or freelance projects, often with sports organizations or media
Industry UsageDeveloping predictive models, athlete performance analysis, sports analytics platformsGenerating reports, analyzing game data, providing insights

Freelance Data Science Sports involves advanced analytics, machine learning, and predictive modeling, often requiring programming skills. Freelance Data Analysis Sports focuses on interpreting data, creating reports, and providing insights with less emphasis on complex algorithms. Both roles serve the sports industry but differ in technical depth and scope.

More about Freelance Data Science Sports jobs
What cities are hiring for Freelance Data Science Sports jobs? Cities with the most Freelance Data Science Sports job openings:
What are the most commonly searched types of Data Science Sports jobs? The most popular types of Data Science Sports jobs are:
What states have the most Freelance Data Science Sports jobs? States with the most job openings for Freelance Data Science Sports jobs include:
What job categories do people searching Freelance Data Science Sports jobs look for? The top searched job categories for Freelance Data Science Sports jobs are:
Freelance Data Science Sports jobs near you
Infographic showing various Freelance Data Science Sports job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 65% Full Time, 27% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Science Expert - AI Content Specialist

Alignerr

Miami, FL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Science Expert - AI Content Specialist
About the Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems think and reason?
We're looking for experienced data scientists to join Alignerr's network of subject matter experts - working alongside leading AI research labs to stress-test, challenge, and improve cutting-edge language models. Your expertise becomes the benchmark these models are measured against.
This is a fully remote, flexible contract role built for professionals who want high-impact work on their own schedule.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Develop rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for model evaluation
  • Audit AI-Generated Code
    - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and best practices
  • Identify Reasoning Failures
    - Spot logical flaws in AI reasoning - data leakage, overfitting, mishandled class imbalances - and provide structured feedback that directly improves model performance
  • Work Independently
    - Complete task-based assignments asynchronously on a schedule that works for you
Who You Are
  • Formally trained
    - Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
  • Domain-deep
    - Strong foundational knowledge across supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)
  • Analytically articulate
    - Able to explain complex algorithmic concepts and statistical results clearly in writing
  • Precision-oriented
    - High attention to detail when reviewing code syntax, mathematical notation, and statistical conclusions
  • No prior AI experience required
    - Your subject matter expertise is what matters
Nice to Have
  • Experience with data annotation, data quality, or model evaluation workflows
  • Familiarity with production-level data science practices such as MLOps or CI/CD for models
  • Background in technical writing or academic publishing
Why Join Us
  • Work directly with industry-leading AI research labs on projects that push the frontier of what AI can do
  • Fully remote and asynchronous - work from anywhere, on your own schedule
  • Freelance autonomy with consistently meaningful, intellectually stimulating work
  • Ongoing contract opportunities as new AI projects launch
  • Contribute to AI development that has a real and lasting impact on how these systems reason about data science

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