

EPITEC
Data Science and Machine Learning Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science and Machine Learning Specialist on a W2 contract for 1 year, hybrid (4 days onsite), with a pay rate of "unknown." Requires a Master's degree, 5+ years in data science, automotive experience preferred, and skills in machine learning and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 10, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dearborn, MI
-
🧠 - Skills detailed
#Computer Science #Data Science #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Predictive Modeling #Microsoft Power BI #Visualization #Mathematics #Data Engineering #Deployment #Storytelling #AI (Artificial Intelligence) #BI (Business Intelligence) #Data Mining #Leadership #Scala #Statistics #Datasets #Data Analysis
Role description
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.
#INDOEM
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.
#INDOEM






