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Sports Analytics Machine Learning Jobs in Georgia

Machine Learning in Peachtree City, GA, USA Target Rate - Open Rates WWS ID - 111803 (And 111800 ... Good analytical and communication skills Good to Have * Knowledge and experience with optical ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

Staff Machine Learning Engineer

Atlanta, GA · On-site

$220K - $280K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... and experimentation analysis • Knowledge of cloud platforms (AWS, GCP, or Azure) and ...

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Perform statistical analysis and data exploration to generate datasets for model training ... Proficiency with the Python machine learning stack, including tools such as Pandas, NumPy, and ...

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

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

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

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

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

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

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

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 Georgia? For Sports Analytics Machine Learning jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Sports Analytics Machine Learning jobs? Cities in Georgia with the most Sports Analytics Machine Learning job openings:
machine Learning

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Posted 15 days ago


Job description

Machine Learning in Peachtree City, GA, USA

Target Rate - Open Rates

WWS ID - 111803 (And 111800 for Lead Role)

Must Have
  • More than 3 years of SW development in machine vision required.
  • More than 2 years of machine vision algorithm development required.
  • Experience in embedded software development (TI OMAP/Jacinto, NXP imx6, Renesas, NVidia, Qualcomm, etc.) is highly preferred.
  • Proficient with embedded C, C++ and Object Oriented Design (OOD).
  • Proficiency in Python is preferred.
  • Understanding basic theories/math behind deep/machine learning technologies and machine vision
  • Experience with camera/sensor driver is a plus.
  • Linux OS experience required.
  • Good analytical and communication skills
Good to Have
  • Knowledge and experience with optical system HW highly preferred
  • Familiarity with SW development process and methodologies(Agile/Scrum).

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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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