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Sports Analytics Machine Learning Jobs in Gainesville, GA

Varsity Tutors

Machine Learning Tutor

Athens, GA · 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

Duluth, GA · 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

Alpharetta, GA · 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

Lawrenceville, GA · 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

Johns Creek, GA · 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:

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Experience with data and analytics solution delivery that address strategic business problems

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Experience with data and analytics solution delivery that address strategic business problems

AGS

Machine Learning Engineer

Duluth, GA · On-site

Design and analyze A/B tests - experimental design, statistical analysis, and results ... Machine learning breadth - classification, regression, clustering, recommendation systems; can ...

Tihinsurance

Machine Learning Engineer

Alpharetta, GA · On-site

... the machine learning function at a market-leading insurance company. As one of the first data ... Experience * 5+ years total in data analytics, infrastructure, engineering and science roles. * 2+ ...

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All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Gainesville, GA

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:
Sports Analytics Machine Learning jobs near you
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.

ML-Driven Data Engineer (Predictive Analytics Pipelines) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
ML-Driven Data Engineer (Predictive Analytics Pipelines)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled ML-Driven Data Engineer to build predictive analytics pipelines using Spark or Python. This role focuses on developing real-time and batch pipelines to support machine learning models for actionable insights.
Key Responsibilities
  • Design and implement predictive analytics pipelines using Spark or Python for real-time and batch processing.
  • Develop data workflows to preprocess and feed data into machine learning models for analytics.
  • Integrate ML models into pipelines for automated inference and continuous learning in production.
  • Optimize data pipelines for performance, scalability, and reliability in distributed environments.
  • Collaborate with data scientists to ensure seamless integration of ML models into data workflows.
  • Monitor and troubleshoot pipelines to maintain data quality and model accuracy over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Engineer with a focus on machine learning and predictive analytics.
  • Proficiency in building real-time and batch pipelines using Spark or Python for ML-driven applications.
  • Experience integrating machine learning models into data pipelines for production use.
  • Strong understanding of distributed data processing and ML workflow integration.

Preferred Qualifications
  • Familiarity with cloud-based ML platforms like AWS SageMaker or Azure ML for pipeline integration.
  • Exposure to advanced Spark features like MLlib for building predictive analytics models.
  • Knowledge of orchestration tools like Airflow for managing complex ML pipelines.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Engineer, Predictive Analytics, Machine Learning, Spark, Python, Real-Time, Batch Pipeline

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