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Data Science Sports Jobs in Indiana (NOW HIRING)

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field ... the Sports and Entertainment industry is a strong plus. • Strong problem-solving skills and ...

S. in Forensic Science, Cybersecurity, Computer Science, Data Science, or related field from an ... sports teams situated in a diverse regional economy. The IU Indianapolis School of Science is ...

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Showing results 1-20

Data Science Sports information

See Indiana salary details

$21.1K

$99.8K

$191.2K

How much do data science sports jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science sports in Indiana is $99,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,996.00 and $144,364.00 per year, depending on experience, location, and employer.

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 athletic training, game tactics, and talent scouting.

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.

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.

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 work with advanced analytics, machine learning, and data visualization tools to improve team performance and business decisions.
What are the most commonly searched types of Data Science Sports jobs in Indiana? The most popular types of Data Science Sports jobs in Indiana are:
What are popular job titles related to Data Science Sports jobs in Indiana? For Data Science Sports jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Science Sports jobs? Cities in Indiana with the most Data Science Sports job openings:
Infographic showing various Data Science Sports job openings in Indiana as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $99,850 per year, or $48 per hour.

Postdoctoral Fellow in Biostatistics and Health Data Science

Indiana University School of Medicine

Indianapolis, IN • On-site

$46K - $63K/yr

Full-time

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


Job description

Postdoctoral Fellow in Biostatistics and Health Data Science

Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University's Notice of Non-Discrimination here which includes contact information.

The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online. You may also request a physical copy by emailing IU Public Safety at iups@iu.edu.

Posting Details

Title - Postdoctoral Fellow in Biostatistics and Health Data Science

Appointment Type - Postdoctoral Fellow

Department - IUSM - Biostatistics

Campus - IU School of Medicine Indianapolis

Position Summary - Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations.

Key responsibilities include:

  • Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines.
  • Build reproducible research pipelines and maintain reliable experiment codebases (prefer Python).
  • Apply causal inference and discovery frameworks to clinical questions.
  • Translate proposed methods and frameworks into real-world clinical workflows.
  • Contribute to grant proposals and research reports.

This is an exciting opportunity to join a fast growing BHDS Department with 36 faculty members and more than 50 professional staff. We are dedicated to excellence in biostatistical, health data science, and informatics research and education. We have an extensive portfolio of research programs in related areas. Our NIH funding as principal investigators and co-investigators has been ranked among the top in the nation. The Department currently has an ongoing PhD program in Biostatistics, MS program in Biostatistics, and BS program in Health Data Science. We have established strong collaborations with both clinical and basic science research departments and divisions and health systems including IU Health and Eskenazi Hospitals as well as strong partnerships with major research institutes and centers including Regenstrief Institute, Center for Computational Biology and Bioinformatics, Indiana Clinical and Translational Science Institute (CTSI), Indiana University Simon Comprehensive Cancer Center, Indiana Institute of Biomedical Research, and Indiana Alzheimer's Disease Research Center. Additional details about the Department and the PhD program are available on our web page: https://medicine.iu.edu/biostatistics.

The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country's second largest allopathic medical school. Indianapolis consistently ranks high nationally on many of the "best places to live" lists and has an economy that is growing in the life sciences arena. In addition, it has always been one of the cities with the lowest cost of living. Carmel, Indy's northern neighbor, was recently named as the best mid-sized city in the country.

IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the largest concentrations of health sciences companies in the nation. Indianapolis has a sophisticated blend of charm and culture with a wonderful balance of business and leisure. The growing residential base is supported by rich amenities and quality of life – the city possesses a variety of professional sports, arts venues and outdoor recreation areas. Residents of this dynamic city, and surrounding suburbs, enjoy leading educational systems and top-ranked universities, paired with a diverse population. Indianapolis International Airport is a top-ranked international airport, being named "Best Airport in North America" by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation.

The search will continue until the positions are filled.

Basic Qualifications - Required Qualifications:

  • Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or a closely related area.
  • Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP.
  • Demonstrated working experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
  • Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases).
  • Excellent written and oral communication skills, and ability to collaborate with multidisciplinary teams.

Preferred Qualifications:

  • Experience with LLMs/foundation models (e.g., clinical NLP, retrieval-augmented generation, instruction tuning) and multimodal transformers.
  • Solid understanding of causal methods (e.g., propensity scores, IPW, matching) and/or causal discovery.
  • Familiarity with data engineering and MLOps (e.g., SQL, Spark, Airflow, Docker, Kubernetes).
  • Knowledge of responsible/ethical AI for health: fairness/equity, interpretability, robustness, privacy (e.g., differential privacy, federated learning).
  • Track record of first-author publications in relevant venues and collaborative open-source contributions.

Department Contact for Questions - Professor Jiang Bian via email at: bianj@regenstrief.org

Additional Qualifications

Special Instructions

Priority Application Review Deadline

Expected Start Date

Posting Number - IUSM-02286-2025

Supplemental Questions

Required fields are indicated with an asterisk (*).

  • * How did you hear about this position?
    • Personal Contact: At Professional Meeting or Conference
    • Personal Contact: Direct Contact by Search Committee
    • Personal Contact: Referred by colleague or advisor
    • Personal Contact: School of Medicine recruiter
    • Personal Contact: IUHP Physician Recruiter
    • Announcement: Other Journal or Magazine
    • Announcement: Other Website
  • * Are you a dual career partner (your partner or spouse is already being recruited)?
    • Yes
    • No

Applicant Documents

Required Documents

  • Curriculum Vitae
  • Letter of Application
  • List Of References

Optional Documents