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Sports Data Python Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

... sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics ... Experience using Python for quantitative research, exploratory data analysis, prototyping, or model ...

Swish Analytics

Trading Analyst

San Francisco, CA

... sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics ... Experience using Python for quantitative research, exploratory data analysis, prototyping, or model ...

AEG

Applied Sports Biomechanist

San Antonio, TX · On-site

At Spurs Sports & Entertainment (SS&E), we work in service of something bigger than ourselves. To ... Proficiency in Python for data processing, analysis, and visualization. * Experience with motion ...

AEG

Data Analyst

Riverside, MO · On-site

Collaborate with sports science and medical staff to analyze workload, readiness, and performance ... Advanced proficiency in Python and SQL. * Experience building automated data workflows, pipelines ...

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain production-grade Python applications and scripts for data transformation, API ... Prior experience in sports, entertainment, media, or live events industries * Familiarity with ...

PrizePicks

Data Science Intern - Fall 2026

Atlanta, GA

$30/hr

Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the ... Strong coding skills in Python and SQL. * Interest in daily fantasy sports, prediction markets, or ...

Columbus Crew

Manager, Data Analysis

Columbus, OH · On-site

... sports organization * Familiarity with CRM, ticketing, marketing, or sponsorship data * Experience with programming or scripting languages such as Python or R * Experience mentoring or supporting the ...

Columbus Crew

Manager, Data Analysis

Columbus, OH · On-site

... sports organization * Familiarity with CRM, ticketing, marketing, or sponsorship data * Experience with programming or scripting languages such as Python or R * Experience mentoring or supporting the ...

Dime Line Trading

Live Sports Trader

Chicago, IL · On-site

Manage trading operations - confirm data feeds are available, ensure trading models launch ... SQL, Python, and / or Linux skills * Experience with sports betting and / or trading in financial ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... sports betting * Experience with relational SQL & Python * Experience with source control tools ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over ... sports betting * Experience with relational SQL & Python * Experience with source control tools ...

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Sports Data Python information

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How much do sports data python jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for sports data python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sports Data Python Analyst, and why are they important?

To excel as a Sports Data Python Analyst, you need strong programming skills in Python, expertise in data analysis, and a background in statistics or a related field. Familiarity with tools like Pandas, NumPy, SQL, and data visualization libraries such as Matplotlib or Seaborn, as well as experience with sports analytics platforms, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful patterns from complex sports data, supporting informed decision-making for teams, coaches, or organizations.

What is the difference between Sports Data Python vs Sports Data Analyst?

AspectSports Data PythonSports Data Analyst
Required SkillsPython programming, data analysis, scriptingData analysis, statistical skills, reporting
Work EnvironmentData science teams, tech companies, sports analytics firmsSports teams, media outlets, analytics departments
Common CertificationsPython certifications, data analysis coursesSports management, analytics certifications

Sports Data Python focuses on programming and scripting to analyze sports data, often requiring coding skills and technical expertise. In contrast, Sports Data Analysts interpret data, generate reports, and provide insights for decision-making. Both roles are vital in sports analytics but differ in technical depth and daily tasks.

What is a Sports Data Python professional?

A Sports Data Python professional specializes in using the Python programming language to collect, analyze, and interpret sports data. They work with large datasets from sources like player statistics, game results, and sensor data to generate insights for teams, coaches, analysts, or fans. Their work often involves data cleaning, statistical analysis, visualization, and sometimes developing predictive models to forecast outcomes or player performance. These professionals are essential in the growing field of sports analytics, helping organizations make data-driven decisions.

What are some typical challenges faced by Sports Data Python professionals when working with real-time data feeds?

Sports Data Python professionals often deal with the complexity of ingesting and processing real-time data from multiple sources, which can present challenges such as handling inconsistent data formats, ensuring minimal latency, and maintaining data accuracy. They must also develop robust error-handling mechanisms to account for feed interruptions or anomalies. Close collaboration with data engineers, analysts, and sometimes product teams is common to ensure seamless integration of live data into analytics platforms or applications.
Infographic showing various Sports Data Python job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Scientist

OC Sports & Entertainment

Anaheim, CA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
OC Sports & Entertainment is dedicated to enhancing community experiences through live entertainment and sports in Orange County. The Data Scientist will own the full analytical lifecycle, driving decision-making and business performance through data analysis, experimentation, and visualization.
Responsibilities:
• Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation
• Define, instrument, and track metrics that measure business initiative success and drive decision-making across the organization
• Design and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendations
• Build and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance data
• Develop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production context
• Apply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex data
• Partner with cross-functional teams to translate business objectives into data problems and data findings into decisions
Qualifications:
Required:
• 3–5 years of hands-on analytical experience delivering production-grade work
• Academic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative field
• Production-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and maintainable code
• Practical experience applying statistics, including building and validating models, diagnosing failures, and explaining results to non-technical stakeholders without losing rigor
• Hands-on experience with Power BI or equivalent tools, including dashboards others depend on daily, not proof-of-concepts
• Demonstrated AI fluency, including experience building something with LLMs or generative AI in a real context, not just following a tutorial
• Strong written and verbal communication skills, with the ability to present complex findings clearly to any audience
• AI-native mindset, with experience using AI-assisted tooling as a genuine productivity multiplier, not a novelty
• Education - Bachelor's Degree
• Experience Required – 3-5 Years
Company:
OC Sports & Entertainment is dedicated to building world class sports and entertainment experiences through groundbreaking technology and a dedication to community. Founded in , the company is headquartered in Anaheim, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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