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Sports Analytics Machine Learning Jobs in Gainesville, GA

... analytics and machine learning techniques to optimize cost performance. • Collaborate with cross-functional teams to identify inefficiencies and propose data-driven solutions. • Work closely with ...

The role involves building scalable AI models, optimizing machine learning pipelines, and ... analytical and problem-solving skills • Good communication and collaboration abilities • ...

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Work is looking for a talented AI/ML Engineer to design, develop, and deploy machine learning and ... analytical and problem-solving skills • Good communication and collaboration abilities • ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Independently designs, develops, validates, and implements statistical and machine-learning solutions for complex business problems. * Owns significant analytical and modeling workstreams from ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management ...

Knowledgeable in Machine Learning Concepts: Well-versed in key ML principles, including regression ... in analytical (AI/ML) tools development * Demonstrates technical proficiency in using systems and ...

Knowledgeable in Machine Learning Concepts: Well-versed in key ML principles, including regression ... in analytical (AI/ML) tools development * Demonstrates technical proficiency in using systems and ...

... in Machine Learning Concepts: Well-versed in key ML principles, including regression ... in analytical (AI/ML) tools development Demonstrates technical proficiency in using systems and ...

Showing results 41-60

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.

Data Science Engineer (Python & Databricks) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 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!
Data Science Engineer (Python & Databricks)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Data Science Engineer to leverage Python and Databricks for building machine learning solutions. This role focuses on developing data-driven insights and models within a scalable Spark environment.
Key Responsibilities
  • Develop data science solutions using Python and Databricks for analytics and ML workflows.
  • Build and optimize Spark-based data pipelines to support machine learning model training.
  • Collaborate with data scientists to implement and deploy ML models in production.
  • Analyze large datasets to extract actionable insights using Python and Spark tools.
  • Ensure scalability and performance of data science workflows on Databricks clusters.
  • Monitor and refine ML solutions to maintain accuracy and efficiency 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 Science Engineer with Python and Databricks.
  • Proficiency in building ML models and data pipelines using Spark on Databricks.
  • Experience with Python for data analysis, modeling, and pipeline development.
  • Strong understanding of data science and machine learning integration in distributed systems.

Preferred Qualifications
  • Familiarity with advanced Databricks features like Delta Lake or MLflow for ML workflows.
  • Exposure to cloud platforms like AWS or Azure for hosting Databricks environments.
  • Knowledge of statistical modeling or deep learning frameworks like TensorFlow.

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 Science Engineer, Python, Databricks, Spark, Machine Learning