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Sports Analytics Machine Learning Jobs in Chandler, AZ

Machine Learning Tutor

Tempe, AZ · 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:

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

Machine Learning Tutor

Phoenix, AZ · 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:

Machine Learning Tutor

Gilbert, AZ · 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:

This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data ...

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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 Chandler, AZ?

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

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

The top searched job categories for Sports Analytics Machine Learning jobs in Chandler, AZ are:

What cities near Chandler, AZ are hiring for Sports Analytics Machine Learning jobs?

Cities near Chandler, AZ with the most Sports Analytics Machine Learning job openings:

ML Machine Learning Engineer

Phoenix, AZ • On-site

InterSources Inc
Recruiting and Staffing Services • 51 - 200 employees

Full-time

Re-posted 26 days ago


Job description

Job Summary:
InterSources Inc is an Award-Winning Global Software Consultancy focused on Digital Transformations across various domains. They are seeking a Machine Learning Engineer to create and deliver technical solutions for their AI/Client Engineering portfolio, collaborating with business teams and technology partners to operationalize model development and drive the adoption of Machine Learning.
Responsibilities:
• Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for end to end of model development life cycle.
• Communication with release manager on product related issues and enhancements.
• Uplift existing system to new Client platform and conduct migration testing Automated transformation and data analysis pipeline to create visualization reports and monitoring
• Capability of implementing REST/function API with various types of database
• Review metadata, provide trouble shooting and change requirement between file batches
• Capability of writing, debugging and compiling codes in Machine learning Operation environment
• More than 70%+ of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in Client
Qualifications:
Required:
• At least 3+ years of experience in the following areas: Bachelor or Master degree in Computer Science, Computer Engineering.
• Hands on knowledge of JAVA, Python, Rest API, Function API, SQL/Hive QL
• Deep understanding of CI/CD process and tools like Git, Docker, Jenkins, XL Release etc.
• Experience with SQL/NSQL databases (MongoDB, Couchbase, Postgres, Cassandra)
• Knowledge in public cloud platforms like AWS, GCP, and Azure
• Ability to scale to big data framework (Hive, pySpark)
• Ability to work in cross functional teams
• Excellent data presentation and visualization skills
Preferred:
• Nice to have experience with any of the Container technologies
• Kubernetes, Helm, Openshift etc.
• Prefer knowledge on Airflow, MLflow.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

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