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Data Science Sports Jobs in Florida (NOW HIRING)

Business, Data Science, Sports Analytics, Machine Learning, Artificial Intelligence (AI), Cybersecurity * Sports Technology, Virtual Reality, Sports Engineering * Sports Nutrition, Exercise Science ...

VP, Data

Bradenton, FL · On-site

$180 - $280/hr

About IMG Academy IMG Academy is the world's leading sports education brand, providing a holistic ... Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ...

Sports Science Intern - Fall 2026

Gulf Breeze, FL · On-site

$13.75 - $18.25/hr

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... sports division USA Sports, along with complementary digital assets including Fandango, Rotten ... Science, or a related field * 1+ years of experience in data analytics, business intelligence, data ...

Sports Science Intern - Fall 2026

Gulf Breeze, FL · On-site

$13.75 - $18.25/hr

Help integrate data into training and recovery planning. * Collaborate with coaches, therapists, and sports scientists to monitor athlete progress. * Support applied research, literature review, and ...

Sr Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

... • BS Computer Science, Engineering, a related technical degree, or equivalent professional ... CBS Sports, a year-round leader in cross-platform sports coverage, broadcasts a portfolio of events ...

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

Help lead team members in the design, development, and optimization of our core sports GraphQL ... BS Computer Science, Engineering, a related technical degree, or equivalent professional ...

Participate in data collection for clinical research and education outcomes reporting under the ... Athletic Training, Physical Therapy, Exercise Science, Exercise Physiology, Public Health or a ...

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Data Science Sports information

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 Florida? The most popular types of Data Science Sports jobs in Florida are:
What are popular job titles related to Data Science Sports jobs in Florida? For Data Science Sports jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Data Science Sports jobs? Cities in Florida with the most Data Science Sports job openings:
Infographic showing various Data Science Sports job openings in Florida as of August 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

Adjunct Faculty

Albizu University

Miami, FL • On-site

Other

Re-posted yesterday


Job description

Adjunct Faculty

In-Campus

Albizu University | Miami Campus

Albizu University is seeking qualified candidates for our Adjunct Faculty Pool to teach in-campus courses at the Miami Campus. We invite experienced, student-centered educators to submit their credentials for consideration in various academic disciplines. These part-time positions are based on institutional needs, availability, and applicant expertise, with course assignments made accordingly.


Note: This is a general adjunct pool posting. Candidates will be contacted if and when teaching opportunities arise that align with their qualifications.


Subject areas include, but are not limited to, the following:

  • Psychology Courses (taught in Spanish)
  • General Education Courses (taught in Spanish)
  • Spanish Composition (taught in Spanish)
  • Psychology (General, Forensic, Sports, Clinical with Performance Enhancement focus)
  • Criminal Justice, Criminal Law, Ethics, Public Safety, Intelligence, Behavioral Science
  • International Relations
  • Business, Data Science, Sports Analytics, Machine Learning, Artificial Intelligence (AI), Cybersecurity
  • Sports Technology, Virtual Reality, Sports Engineering
  • Sports Nutrition, Exercise Science, Exercise Physiology, Physical Therapy, Sports Medicine, Kinesiology, Biomechanics
  • Elementary Education, Exceptional Student Education
  • Research Methods
  • Clinical Psychology
  • Speech and Language Pathology
  • Applied Behavior Analysis


Responsibilities:

  • Teach assigned courses in accordance with institutional guidelines and academic standards.
  • Prepare and/or modify course syllabi, lectures, assignments, and exams, ensuring alignment with student learning outcomes.
  • Engage students through active learning strategies and formative assessments.
  • Provide timely, constructive feedback and maintain accurate academic records.
  • Submit student grades to the Registrar’s Office by the designated deadline.
  • Monitor students needing remediation and provide support as necessary.
  • Faculty will be assigned students who require mentoring. Mentors are expected to maintain regular communication with their assigned students by sending standard check-in emails at least three times per term. Faculty should also remain informed about the academic support resources available to students and proactively refer or connect students to those resources as needed. Mentoring may be conducted face-to-face or virtually, depending on what best supports the student.
  • Participate in faculty and departmental meetings, as well as institutional or campus meetings and training, as appropriate.
  • Attend adjunct training and orientation sessions as required.


Requirements:

  • Master’s or Doctoral degree (Ph.D. preferred) in one or more of the subject areas listed above or closely related fields.
  • At least 2-3 years of college-level teaching experience in relevant academic areas.
  • A comprehensive CV or resume that clearly lists all courses taught and associated disciplines.


Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

Albizu University complies with Federal and State equal employment opportunity laws; qualified applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, marital status, veteran status, non-job-related disability, or any other protected group status.