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Sports Analytics Machine Learning Jobs in Houston, TX

AI Solutions Software Developer

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply broad knowledge of leading-edge information technologies, data engineering, machine learning, cloud platforms, and software development practices to analyze complex datasets, integrate AI ...

Data Scientist

Houston, TX ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key ...

New

Data Scientist

Houston, TX ยท On-site

$140 - $190/hr

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges. You will develop ...

Data Scientist

Houston, TX ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key ...

New

Data Scientist

Houston, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and execute research of open-ended problems related to data analytics, Machine Learning, and predictive modeling on large, complex data sets to draw insights and conclusions for key ...

New

Principal Data Engineer

Houston, TX ยท On-site

$106K - $127K/yr

Collaborate closely with business analysts, data scientists, machine learning engineers, and optimization engineers, providing the data infrastructure and tools needed for complex analytical models ...

Program Lead, Data & Analytics Platform

The Woodlands, TX ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This includes establishing scalable architectures that enable analytics, artificial intelligence (AI), machine learning (ML), predictive analytics, executive reporting, self-service analytics, and ...

New

Supervisor, AI & Data Analytics

Houston, TX ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

POSITION SUMMARY The Supervisor, AI & Data Analytics is responsible for leading and developing a ... Design, develop, and implement AI-driven solutions, machine learning models, and intelligent ...

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 are popular job titles related to Sports Analytics Machine Learning jobs in Houston, TX?

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

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

The top searched job categories for Sports Analytics Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Sports Analytics Machine Learning jobs?

Cities near Houston, TX with the most Sports Analytics Machine Learning job openings:

Senior Algorithm Engineer, Deep Learning & Vision

Socket.dev

Houston, TX โ€ข On-site

$150 - $210/hr

Other

Posted 13 days ago


Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.


Key Responsibilities

  • Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..

  • Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.

  • Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.


Qualifications
Required:

  • Have an advanced degree (Ph.D or Masterโ€™s) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.

  • Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.

  • Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.

  • Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.


Preferred:

  • Have a proven track record of research publications in top conferences and/or journals as the first author.

  • Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.

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