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Sports Analytics Machine Learning Jobs in Austin, TX

Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Required : • 4+ years of experience delivering analytics, machine learning, automation, data, or ... generative and agentic AI solutions • Experience using Python and Structured Query Language (SQL ...

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

... Analyze large datasets to extract meaningful insights and support data-driven decisions Develop scalable machine learning pipelines and systems Maintain up-to-date knowledge of emerging AI and ...

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

Machine Learning Tutor

Austin, TX · 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:

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 Austin, TX? For Sports Analytics Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Austin, TX look for? The top searched job categories for Sports Analytics Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Sports Analytics Machine Learning jobs? Cities near Austin, TX with the most Sports Analytics Machine Learning job openings:

Machine Learning Engineer - REMOTE

PTP

Austin, TX • On-site, Remote

Full-time

Re-posted 15 days ago


Job description

Job Description
PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineerto help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Responsibilities
  • Use machine learning techniques to create scalable solutions for business problems
  • Analyze and extract key insights from rich stores of customer data
  • Research and implement ML algorithms for a variety of business problems
  • Automate processes for analyses, model development, validation, and implementation
  • General application data and performance analysis

Requirements
  • 2+ years experience with:
    • Natural language processing (NLP)
    • Free-text analytics
    • Machine learning (ML) algorithms
    • Predictive modeling and analysis
    • Data visualization software (Tableau preferred)
  • Familiarity with AWS SageMaker
  • Strong programming skills in Python
  • Experience with SQL and NoSQL databases
  • Strong problem-solving ability
  • Excellent written and verbal communication and skills
  • Degree in Computer Science or related field

PTP logo

About PTP

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2004