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Sports Analytics Machine Learning Jobs in Miami, FL

Albizu University

Adjunct Faculty

Miami, FL · On-site

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

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

QF Analytics LLC is a fintech company that develops and supports one of the world's fastest-growing ... The Machine Learning Researcher should be interested in Financial Markets, and will be directly ...

Varsity Tutors

Machine Learning Tutor

Coral Gables, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Sunrise, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Cooper City, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Miramar, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Doral, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Hialeah, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Miami, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What are popular job titles related to Sports Analytics Machine Learning jobs in Miami, FL?

For Sports Analytics Machine Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Sports Analytics Machine Learning jobs in Miami, FL look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for Sports Analytics Machine Learning jobs?

Cities near Miami, FL with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you

Adjunct Faculty

Miami, FL • On-site

Albizu University
See more jobs at Albizu Universityexternal

Other

Re-posted 19 days ago

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. 

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