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Sports Analytics Machine Learning Jobs in Michigan

Stefanini

Machine Learning Engineer

Allen Park, MI · On-site

Key ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable ... J2EE, Logistics, Python, Machine Learning Skills Preferred:AIPGEE, Advance data Migration, API ...

Stefanini Group

Machine Learning Engineer

Dearborn, MI · On-site

Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...

Stefanini

Machine Learning Engineer

Dearborn, MI · On-site

ResponsibilitiesUnderstand business requirements and analyze datasets to determine suitable ... machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns ...

Stefanini Group

Machine Learning Engineer

Dearborn, MI · On-site

$61 - $66/hr

Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...

Corning

You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move ... machine learning pipelines, including data ingestion, preprocessing, training, validation ...

New

Rock Connections

Machine Learning Engineer

Detroit, MI · On-site +1

$107K - $241K/yr

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that ... Gather and analyze large datasets and develop data model pipelines * Develop algorithms that drive ...

FastTek

Machine Learning Engineer

Dearborn, MI

Excellent analytical, communication, and problem-solving skills * Ability to work in fast-paced, agile environments Primary Skills: * Python, Machine Learning, Data Science, GCP, BigQuery Experience ...

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

Data Science and Machine Learning Specialist

Epitec

Dearborn, MI • On-site

Contractor

Posted 5 days ago

Job description

  • Location: Dearborn, Michigan
  • Type: Contract
  • Job #104936

Job Title: Data Scientist - Predictive Analytics & Machine Learning
Location: Hybrid (4 Days Onsite)
Job Type: W2 Contract
Duration: 1 year - Ongoing Contract
Expected Hours per Week: 40 Hours
Summary
We are seeking a Data Scientist to support advanced analytics, machine learning, and predictive modeling initiatives within a leading automotive organization. This role focuses on transforming large volumes of vehicle quality, warranty, repair, and service data into actionable business insights. The ideal candidate will leverage statistical modeling, machine learning algorithms, and advanced analytics techniques to identify trends, predict future outcomes, and support data-driven decision-making across the organization.
Responsibilities
  • Analyze large structured and unstructured datasets to identify patterns, trends, and business opportunities
  • Design, develop, and implement machine learning models and predictive analytics solutions
  • Perform deep-dive analyses on vehicle quality, service, repair, warranty, recall, and parts-related data
  • Develop statistical models and analytical techniques to answer complex business questions
  • Create and validate algorithms, hypotheses, and experiments to support business decision-making
  • Build scalable analytical solutions and automated data science workflows
  • Design data loading, enrichment, and augmentation processes to improve model performance and accuracy
  • Create Power BI dashboards and visualizations to communicate insights and recommendations
  • Collaborate with Data Engineers, Software Engineers, Architects, Project Managers, and fellow Data Scientists
  • Validate analytical outputs and support deployment of new analytics capabilities into production environments
  • Present findings, recommendations, and business insights to leadership and non-technical stakeholders
  • Stay current with emerging Data Science, Machine Learning, AI, and Analytics technologies and methodologies
Education/Experience Required
  • Master's Degree in Data Science, Statistics, Mathematics, Computer Science, Analytics, Engineering, or a related field
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related discipline
  • Experience working with large, high-dimensional datasets
  • Experience developing predictive models and machine learning solutions
  • Strong problem-solving and analytical skills
  • Experience communicating technical findings to business stakeholders
Technical Skills Required
Experience with one or more of the following:
  • Data Science
  • Machine Learning (ML)
  • Predictive Modeling
  • Statistical Analysis
  • Data Mining
  • Advanced Analytics
  • Algorithms Development
  • Predictive & Prescriptive Analytics
  • Data Visualization
  • Power BI Dashboards
  • Data Analysis
  • Experimental Design and Hypothesis Testing
Education / Experience Preferred
  • Doctorate Degree in a related field
  • Automotive industry experience
  • Experience analyzing warranty, quality, repair, recall, or service data
  • Experience building scalable and automated analytics solutions
  • Experience working within enterprise data environments
  • Experience supporting predictive maintenance, quality, reliability, or customer experience initiatives
Key Success Factors
  • Ability to convert complex data into actionable business recommendations
  • Strong understanding of statistical modeling and machine learning techniques
  • Ability to identify early indicators of business, quality, or operational issues
  • Strong dashboarding and data visualization capabilities using Power BI
  • Ability to work effectively with both technical and non-technical stakeholders
  • Strong communication, presentation, and storytelling skills
  • Ability to manage multiple analytical initiatives simultaneously
  • Passion for leveraging data to drive business outcomes and continuous improvement
What You'll Be Working On
  • Predicting vehicle quality, warranty, and service trends before they become larger issues
  • Analyzing repair orders, warranty claims, recalls, repeat visits, and parts data
  • Developing machine learning models that drive proactive business decisions
  • Delivering executive-level insights through reporting and Power BI dashboards
  • Supporting next-generation analytics capabilities within a large-scale automotive data platform

This is an excellent opportunity for a Data Scientist, Senior Data Analyst, Machine Learning Engineer, Predictive Analytics Specialist, Applied Statistician, or Advanced Analytics Consultant looking to work on high-impact data science initiatives within the automotive industry.
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