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Executive Data Science Jobs in Michigan (NOW HIRING)

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Your mission is to build and scale trusted data science products that power marketing performance ... Develop defensible, well-documented methodologies that stand up to executive scrutiny and support ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

... executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences. * Contribute to and help establish analytics and data science ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

... executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences. * Contribute to and help establish analytics and data science ...

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

This executive-level position will drive the organization's vision across Master Data Management ... Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related ...

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Executive Data Science information

What are the key skills and qualifications needed to thrive as an Executive Data Scientist, and why are they important?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is Executive Data Science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an Executive Data Scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Executive Data Science jobs in Michigan? For Executive Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Michigan look for? The top searched job categories for Executive Data Science jobs in Michigan are:
What cities in Michigan are hiring for Executive Data Science jobs? Cities in Michigan with the most Executive Data Science job openings:
Executive Data Science jobs near you
Data Science and Machine Learning Specialist

Data Science and Machine Learning Specialist

Epitec

Dearborn, MI • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

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.
#LI-PS1 #INDOEM

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