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Sports Analytics Machine Learning Jobs in Gainesville, GA

The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to derive actionable insights from complex datasets. The candidate will work closely with business ...

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ... Formal coursework and/or familiarity with AI/Machine learning * Experience working with large ...

Develop scalable, repeatable machine learning pipelines supporting model training, validation, deployment, monitoring, and lifecycle management. * Build anomaly detection and predictive analytics ...

Data Science Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Athens, GA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Duluth, GA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Scientist

Duluth, GA · On-site

$125 - $150/hr

Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance. * Analyze large-scale time-series data from IoT devices and water ...

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Position Summary As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform.

Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

AI Engineer

Alpharetta, GA · On-site

$125 - $150/hr

Analytics Engineering Industry Keywords * Machine Learning Lifecycle * Workflow Orchestration * Pipeline Automation * CI/CD Pipelines * ML Model Deployment Tools & Technologies * Google Cloud ...

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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 cities near Gainesville, GA are hiring for Sports Analytics Machine Learning jobs?

Cities near Gainesville, GA with the most Sports Analytics Machine Learning job openings:

Infographic showing various Sports Analytics Machine Learning job openings in Gainesville, GA as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution.

Other

Posted 4 days ago


Job description

Data ScientistIntroduction:

As a Data Scientist at our company, you will be responsible for utilizing your expertise in data analysis, machine learning, and visualization to drive key business decisions. You will work closely with cross-functional teams to extract insights from large datasets and develop predictive models to enhance our products and services.

Responsibilities:
  • Utilize strong Python/R & SQL skills to analyze large datasets and extract valuable insights.
  • Apply machine learning techniques such as Scikit-Learn, TensorFlow, and PyTorch to develop predictive models.
  • Conduct statistical analysis, predictive modeling, exploratory data analysis (EDA), and feature engineering to support business objectives.
  • Create data visualizations using tools such as Tableau, Power BI, and Matplotlib to communicate findings effectively.
  • Work with cloud platforms such as AWS, Azure, and Google Cloud Platform to manage and analyze data efficiently.
  • Utilize Big Data technologies like Spark and Databricks to process and analyze large datasets.
  • Collaborate with the team to deploy machine learning models and implement Machine Learning Operations (MLOps) practices.
  • Stay current with the latest advancements in AI technologies, including Natural Language Processing (NLP) and Generative AI (GenAI).
Requirements:

Required Skills:

  • Strong Python/R & SQL skills
  • Experience with machine learning libraries such as Scikit-Learn, TensorFlow, and PyTorch
  • Proficiency in statistics, predictive modeling, EDA, and feature engineering
  • Ability to create data visualizations using Tableau, Power BI, and Matplotlib
  • Experience working with cloud platforms such as AWS, Azure, and Google Cloud Platform
  • Familiarity with Big Data technologies like Spark and Databricks
  • Preferred experience in ML model deployment and MLOps practices
  • Knowledge of GenAI, LLM, and NLP is a plus