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Sports Analytics Machine Learning Jobs in Akron, OH

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

Clean, preprocess, and analyze datasets for model training * Collaborate with team members to solve ... Basic proficiency in Python * Familiarity with machine learning concepts (regression ...

Flexjet

Machine Learning Engineer

Cleveland, OH

Clean, preprocess, and analyze datasets for model training * Collaborate with team members to solve ... Basic proficiency in Python * Familiarity with machine learning concepts (regression ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · 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

Akron, OH · 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:

Keybank

Quantitative Analytics Lead Associate

Brooklyn, OH · On-site

$71K - $125K/yr

Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need * Use critical thinking to use the ...

KeyBank

Quantitative Analytics Lead Associate

Brooklyn, OH · On-site

$71K - $125K/yr

Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need * Use critical thinking to use the ...

Keybank

Lead Quantitative Analytics Associate

Brooklyn, OH · On-site

$71K - $125K/yr

Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need * Use critical thinking to use the ...

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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 Akron, OH?

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

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

The top searched job categories for Sports Analytics Machine Learning jobs in Akron, OH are:

What cities near Akron, OH are hiring for Sports Analytics Machine Learning jobs?

Cities near Akron, OH with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you

Machine Learning Engineer

Flexjet

Cleveland, OH • On-site

Full-time

Posted 19 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

20th of 67 rated aviation services

Job description

POSITION SUMMARY
Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.
DUTIES & RESPONSIBILITIES
  • Assist in developing and training machine learning models
  • Support the creation and maintenance of data pipelines
  • Help deploy ML models into production under guidance
  • Clean, preprocess, and analyze datasets for model training
  • Collaborate with team members to solve business problems using data
  • Monitor model performance and help troubleshoot issues
  • Document code, processes, and model behavior

REQUIRED SKILLS & QUALIFICATIONS
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
  • Basic proficiency in Python
  • Familiarity with machine learning concepts (regression, classification, clustering)
  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)
  • Understanding of data structures and algorithms fundamentals
  • Basic knowledge of SQL and data handling

PREFERRED QUALIFICATIONS
  • Internship, academic project, or personal project experience in machine learning
  • Familiarity with Git and version control
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)
  • Basic understanding of APIs or web services
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)
  • Strong willingness to learn and grow
  • Problem-solving mindset
  • Good communication and teamwork skills
  • Attention to detail

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Pay

Benefits

Hours and flexibility

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