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Phd Sports Analytics Jobs (NOW HIRING)

Fitting Research Engineer

Carlsbad, CA · On-site

$90K - $103K/yr

Stay current on advances in data science, machine learning, and sports analytics; identify and ... S. with 1 - 2 years; or relevant PHD * Prior experience in an industry setting with exposure to ...

Stay current on advances in data science, machine learning, and sports analytics; identify and ... S. with 1 - 2 years; or relevant PHD * Prior experience in an industry setting with exposure to ...

Image reconstruction and analysis (PET/CT, SPECT/CT and/or planar nuclear imaging) * Dosimetry ... Company-sponsored social events and intramural sports Cincinnati Headquarters Experience * * A ...

Image reconstruction and analysis (PET/CT, SPECT/CT and/or planar nuclear imaging) * Dosimetry ... Company-sponsored social events and intramural sports Cincinnati Headquarters Experience * * A ...

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Phd Sports Analytics information

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$71K

$158.1K

$244.5K

How much do phd sports analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for phd sports analytics in the United States is $158,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $180,000.00 per year, depending on experience, location, and employer.

Are sports analytics jobs in demand?

Sports analytics jobs are in increasing demand as teams and organizations seek data-driven insights to improve performance and decision-making. Professionals with skills in statistics, programming, and sports knowledge are highly sought after, especially those proficient in tools like R, Python, and data visualization software. The field offers opportunities in professional sports, collegiate programs, and sports technology companies.

What is the difference between Phd Sports Analytics vs Sports Data Analyst?

AspectPhd Sports AnalyticsSports Data Analyst
Required CredentialsPhD in Sports Analytics, Data Science, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic, or high-level industry rolesTeam-based, sports organizations, or media companies
Industry UsageAdvanced research, strategic decision-making, and modelingData collection, reporting, and insights for teams or broadcasters

While both roles involve sports data, a Phd Sports Analytics typically focuses on advanced research, modeling, and strategic insights, often requiring a doctorate. In contrast, a Sports Data Analyst usually handles data collection, analysis, and reporting at a more operational level within sports organizations or media. The Phd role is more research-oriented, whereas the analyst role is more applied and practical.

What are the key skills and qualifications needed to thrive as a PhD in Sports Analytics, and why are they important?

To thrive as a PhD in Sports Analytics, you need advanced knowledge of statistics, data science, and sports performance analysis, typically supported by a doctoral degree in a relevant field. Proficiency with statistical software (such as R, Python, or SAS), machine learning tools, and sports analytics platforms is essential. Strong communication, critical thinking, and collaboration skills help you translate complex data insights into actionable strategies for coaches, teams, or organizations. These skills and qualities are vital for driving evidence-based decision-making and achieving competitive advantages in the sports industry.

What are some typical collaborative projects or tasks a PhD in Sports Analytics might work on with other professionals?

PhD holders in Sports Analytics often collaborate with coaches, data scientists, medical staff, and performance analysts to design and execute research projects that improve team performance or injury prevention. These collaborations may involve developing predictive models for player performance, conducting biomechanical analyses, or optimizing training loads based on data insights. Effective communication and teamwork are essential, as you'll frequently translate complex analytical findings into actionable strategies for non-technical stakeholders. Such cross-functional projects not only enhance the overall impact of your work but also build valuable professional relationships within the sports organization.

What jobs can you get with a Phd sports analytics degree?

A PhD in sports analytics prepares individuals for roles such as sports data scientist, performance analyst, or research scientist in professional teams, sports organizations, or analytics firms. These positions involve analyzing player performance, developing predictive models, and utilizing tools like R or Python to inform strategic decisions. Advanced knowledge of statistics, machine learning, and sports science is often required.

What is a PhD Sports Analytics professional?

PhD Sports Analytics professionals are experts who have earned a doctoral degree focused on the application of advanced statistical, computational, and analytical methods to sports-related data. They use techniques such as data mining, machine learning, and predictive modeling to inform decisions in areas like player performance, injury prevention, and game strategy. These specialists often work for sports teams, academic institutions, or analytics companies, contributing to both research and practical advancements in the field of sports analytics.
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What cities are hiring for Phd Sports Analytics jobs?

Cities with the most Phd Sports Analytics job openings:

What states have the most Phd Sports Analytics jobs?

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Infographic showing various Phd Sports Analytics job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $158,116 per year, or $76 per hour.

Quantitative Sports Researcher - Graduate Hire

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 14 days ago


Job description

Overview
At Susquehanna, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry. These models are vital to creating new trading strategies and informing decision-makers about the distribution of game events. By joining our Sports Analytics team as a Quantitative Researcher, you will be part of a group that is passionate about mathematics, gaming, and technology.
What you'll do:
  • Immerse yourself in sports analytics research
  • Empirically test ideas using real industry data
  • Write programs to implement models and simulate outcomes
  • Discuss and collaborate with fellow researchers, traders, and technologists

What we're looking for
  • Graduating Master's or PhD students in a quantitatively-driven field
  • Solid, analytical problem-solving skills and excellent logical reasoning
  • Exceptional communication skills, both in the ability to understand others and to make yourself clearly understood
  • Strong, practical computer programing skills
  • Demonstrated experience working on sports analytics projects
  • Understanding of US Sports (NFL, NBA, MLB, NHL) and world sports (soccer, tennis, golf, cricket)
  • Intermittent international travel may be required

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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