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Sports Analytics Machine Learning Jobs in Macomb, MI

OneMagnify

Analytics and Insights Lead

Detroit, MI · On-site

... as machine learning, generative AI, and embedded AI agents to improve marketing efficiency. • Ensure accuracy, scalability, and repeatability in all analytics solutions. • Work closely with ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Gather, analyze, and document business and technical requirements for AI solutions. Design, develop, train, validate, and deploy machine learning and AI models to improve business processes and ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Gather, analyze, and document business and technical requirements for AI solutions. Design, develop, train, validate, and deploy machine learning and AI models to improve business processes and ...

General Motors

Staff Data Scientist

Warren, MI · On-site

Key Responsibilities Applied Machine Learning Translate ambiguous business problems into clear analytical objectives, modeling strategies, and measurable success criteria. * Develop, validate, and ...

General Motors

Staff Data Scientist

Warren, MI

Key Responsibilities Applied Machine Learning Translate ambiguous business problems into clear analytical objectives, modeling strategies, and measurable success criteria. * Develop, validate, and ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Solid background in deep learning and applied machine learning . * Strong analytical and mathematical foundation relevant to ML systems. * Experience designing systems that balance performance ...

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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 job categories do people searching Sports Analytics Machine Learning jobs in Macomb, MI look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Macomb, MI are:

What cities near Macomb, MI are hiring for Sports Analytics Machine Learning jobs?

Cities near Macomb, MI with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you

CDB AI & Analytics - Development - Sr. Developer - MDV115

First Soft Solutions

Detroit, MI • On-site

$54 - $71.25/hr

Contractor

Re-posted 21 days ago

Job description

Job Description: COVID-19 Vaccination Requirement: Please note that, where allowed by local law, Cognizant requires associates of all Cognizant entities, subsidiaries, and joint ventures, including non-integrated business, as well as contractors, to be fully vaccinated against COVID-19 if or when their role requires them to conduct business face-to-face. This includes any role that necessitates presence at a Cognizant or client site, in-person event or meeting, or business travel. In accordance with local law, vaccination will also be required when mandated by a client or the country government, regardless of work location. New hires will be asked to attest to their vaccination status and upload proof of vaccination as applicable after joining.
Job Title: CLOUD SOFTWARE ENGINEER
Job Summary: Cloud Software Engineer Position Overview At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Experience: 8 to 12 yrs
Required Technical Skills- Google Big Table
Domain Skills: Automotive Industry, Technology Data Management
Roles & Responsibilities: Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform - an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc). Position Responsibilities • Work closely with Tech Anchor, Product Manager and Product Owner to deliver Machine learning Platform and tools for the data scientists across the company. • Work with software and ML engineers to tackle challenging AIOps problems. • Work specifically on the model team to help build tools/ML Pipeline and systems using Python that make data scientists happier and more productive • Help innovate standardize machine learning development practices. • Experiment, innovate and share knowledge with the team. • Act as a consultant to the business vs. an order taker. • Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. • Leverage latest of Google Cloud and Kubernetes technologies Skills Required: • 2+ years of experience with Cloud Engineering / Services • 2+ years of work experience as a software engineer with exceptional software engineering knowledge.
Job Location Primary: USMIDEOC01-Detroit - MI USA, CLT Alternate Job Type 60CW00 Business Associate
Demand Requires Travel? N Certification(s) Required NA
Additional Sills: Skills:
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About First Soft Solutions

Sourced by ZipRecruiter

First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

2006

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