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Data Science Sports Jobs in Minnesota (NOW HIRING)

Maintain accurate reporting and data for insights into performance of the department * Isolate ... International Sports Sciences Association (with NCCA accreditation) * Certified Personal Trainer

Data Center * Federal Contracting * Sports and Entertainment Required Qualifications: Cultivate ... science or mathematical related degree by summer 2027 * Are willing to be mobile / relocate ...

Actuarial Analyst

Minnetonka, MN · On-site

$70K - $120K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related ...

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related ...

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related ...

Actuarial Analyst

Hopkins, MN · On-site

$70K - $120K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or related ...

Showing results 21-40

Data Science Sports information

See Minnesota salary details

$21.9K

$103.5K

$198.2K

How much do data science sports jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science sports in Minnesota is $103,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,637.00 and $149,629.00 per year, depending on experience, location, and employer.

What is a Data Science Sports?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What does a Data Science Sports professional do?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

What skills and qualifications are needed for a Data Science Sports position?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

How much do data science sports make?

Data science roles in sports typically have salaries ranging from $60,000 to over $120,000 annually, depending on experience, location, and the level of responsibility. Professionals often use skills in statistics, machine learning, and data visualization tools to analyze athletic performance, team strategies, or fan engagement. Entry-level positions may start lower, while senior roles or those in major leagues tend to pay higher salaries.

What do data science sports do in sports?

Data science professionals in sports analyze large datasets to improve team performance, player health, and game strategies. They use statistical models, machine learning, and data visualization tools to identify patterns and inform decision-making in areas like player recruitment and game tactics.

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

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

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

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

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

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

What cities in Minnesota are hiring for Data Science Sports jobs?

Cities in Minnesota with the most Data Science Sports job openings:

Infographic showing various Data Science Sports job openings in Minnesota as of August 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 78% In-person, 13% Hybrid, and 9% Remote job distribution, with an average salary of $103,491 per year, or $49.8 per hour.

Research Professional 5 - Preclinical Research

The Chronicle Of Higher Education, Inc.

Minneapolis, MN • On-site

$84 - $88/hr

Other

Medical, Dental, Life, Retirement

Posted 5 days ago


Job description

Job Duties & Responsibilities
  • 50% — Experimental Design & Research Execution
    • Primary responsibility is to design and conduct experiments aligned with ongoing lab projects, focusing on muscle biology, aging, and estrogen biology.
    • Lead individual research experiments/studies while actively collaborating on team-based projects.
  • 20% — Lab Direction & Supervision
    • Provide guidance and supervision to lab personnel by instructing on laboratory techniques, processes, and standard procedures.
  • 10% — Literature Review & Scientific Strategy
    • Research and analyze relevant scientific literature; present findings and offer strategic recommendations to advance ongoing studies.
  • 10% — Data Analysis & Interpretation
    • Analyze and interpret experimental data; consult with the Principal Investigator (PI) regarding analytical outcomes and how results impact current hypotheses or overall research objectives.
  • 10% — Manuscript Preparation & Publishing
    • Contribute to the drafting and editing of manuscripts related to research studies.
QualificationsRequired Qualifications
  • PhD in a biological science or technology area
  • At least 3 years of postdoctoral experience
  • Proven record of publications in peer-reviewed journals
Preferred / Relevant Experience
  • Presenting research at scientific conferences
  • Working with cell and tissue cultures
  • Cell and molecular biology
  • Hands‑on laboratory techniques, including:
    • CRISPR gene editing
    • Immunocytochemistry
    • Migration and chemotactic assays
    • Microscopy
About the Department

Family Medicine and Community Health

The Department of Family Medicine and Community Health at the University of Minnesota was created more than 50 years ago in response to a legislative mandate to train primary care physicians. Since then, we have been leaders in transforming the specialty through education, research, and patient care. We are the academic sponsor of ten family medicine residencies—five in the Twin Cities, five in Greater Minnesota. We are involved in medical student education activities across the Medical School's three campuses: Twin Cities, Duluth, and Saint Cloud. We sponsor five fellowship programs—sports medicine, hospice and palliative medicine, behavioral medicine, clinical informatics, and human sexuality—and offer continuing medical education opportunities. We are regularly among the top National Institutes of Health-funded family medicine departments. Our faculty are actively researching health disparities, healthcare delivery, and population health. More at https://med.umn.edu/familymedicine.

Division of Physical Therapy

The Division of Physical Therapy creates and integrates innovative research discoveries, education, and practice to develop scholarly, collaborative physical therapists and rehabilitation scientists who advance health care and disease prevention for diverse communities in Minnesota and beyond. More information may be found at https://med.umn.edu/fmch/physical-therapy.

Pay and Benefits

Pay Range: $84,302 to $88,000 annually; depending on education/qualifications/experience

Time Appointment: 100% Appointment

Position Type: Faculty and P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer‑paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the time, the initial pay may not reach the maximum of the range. This approach ensures that compensation reflects the value and unique contributions of each candidate while maintaining equity within our organization. As part of our commitment to fair and equitable compensation, please be aware that the salary offered to incoming candidates will be based on their individual credentials and experience.

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota

The University of Minnesota, Twin Cities (UMTC) is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

The University of Minnesota, Twin Cities (UMTC)

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022‑2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work‑lifeflexibility.

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