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Director Data Science Jobs in Michigan (NOW HIRING)

Charles River

Support Scientist II

Mattawan, MI · On-site

$27/hr

A Support Scientist II is responsible for: providing administrative support to study directors (SD) for management of data and preparation of protocol/study plans and study reports. The individual in ...

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General Motors

Staff Data Scientist

Warren, MI · On-site

$184K - $233K/yr

D. required in a technical discipline, such as statistics, mathematics, computer science, economics ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

General Motors

Staff Data Scientist

Warren, MI · On-site

$184K - $233K/yr

D. required in a technical discipline, such as statistics, mathematics, computer science, economics ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

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Director Data Science information

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$47.1K

$135K

$212.7K

How much do director data science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director data science in Michigan is $134,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $165,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the director data science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What is a director data science?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a director data science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

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 Director Data Science jobs in Michigan? For Director Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Data Science jobs in Michigan look for? The top searched job categories for Director Data Science jobs in Michigan are:
What cities in Michigan are hiring for Director Data Science jobs? Cities in Michigan with the most Director Data Science job openings:
Director Data Science jobs near you
Infographic showing various Director Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,987 per year, or $64.9 per hour.

Automotive Warranty Claim Data Lead

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 28 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The Automotive Warranty Claim Data Lead is a critical role responsible for driving data informed decisions across the organization by leading the collection, analysis, and reporting of automotive warranty claim data. This position will lead efforts to identify emerging quality issues, forecast warranty costs, and provide actionable insights to Engineering, Quality, Service, and Finance teams to improve product reliability and minimize warranty expenditure. The Data Lead will also be responsible for the integrity and strategic use of the core warranty database.
Key Responsibilities:
Data Strategy & Analytics Leadership:
  • Lead the development, implementation, and maintenance of advanced analytical models (e.g., predictive models, time-series forecasting) to project future warranty claims, failure rates, and cost trends.
  • Spearhead deep-dive analysis on complex warranty datasets to uncover root causes of product failures, identify anomalies, and detect potential over repair
  • Develop and manage the overall data governance strategy for the warranty claims database, Palantir/MAP, to ensure data accuracy, consistency, and reliability across
    all reporting and analytical platforms.
  • Design, build, and maintain intuitive data dashboards and Key Performance Indicators (KPIs) to monitor group warranty goals, claim trends/broken clean points, and product reliability for all relevant stakeholders.

Reporting & Cross-Functional Collaboration:
  • Prepare and present regular, comprehensive reports on warranty performance, cost drivers, and key findings to senior management, including executive-level summaries.
  • Collaborate cross-functionally with Quality, Engineering, Manufacturing, and Service teams to translate data insights into concrete product or process improvements.
  • Provide actionable intelligence to the Technical Service team, enabling faster resolution of recurring and high-cost failure modes in the field.
  • Support the Finance and Accounting departments with accurate warranty cost accruals, budget forecasting, and financial reporting based on data-driven projections.

Process & System Improvement:
  • Identify opportunities to leverage advanced technologies, such as Machine Learning or AI, to enhance data mining, claims validation, and root cause analysis processes.
  • Act as the subject matter expert and system administrator for key warranty and data platforms (e.g., Global Warranty Management System, BI tools, data warehouses).
  • Champion continuous process improvement within the warranty data workflow, seeking to automate data pipelines and streamline reporting to improve efficiency.
  • Ensure all data handling and reporting complies with company policies, legal requirements, and industry standards.

Required Qualifications:
  • Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or a related quantitative technical field.
  • 5+ years of experience in data analysis, business intelligence, or data science.
  • 3+ years of experience specifically within the automotive, manufacturing, or heavy-equipment industry, with a focus on warranty data, reliability engineering, or technical services.
  • Proven experience in a leadership or lead-analyst role, mentoring junior team members or managing complex analytical projects.

Preferred Qualifications:
  • Master's degree.
  • Proficiency in SQL for complex data querying, manipulation, and analysis of large datasets.
  • Programming skills in a statistical or data science language, such as Python or R.
  • Proficiency with Business Intelligence and data visualization tools (e.g., Tableau, Power BI, QlikSense) to create insightful reports and dashboards.
  • Familiarity with warranty management systems (e.g., Global Warranty Management) and enterprise data environments (e.g., data lakes, cloud platforms like AWS, Azure,
    or GCP).
  • Solid understanding of statistical methodologies for time-to-failure analysis (e.g.,Weibull), forecasting, and hypothesis testing.
  • Knowledge of quality improvement methodologies (e.g., Six Sigma, FMEA).
  • Experience with machine learning frameworks and modeling for predictive maintenance or failure prediction.
  • Prior experience working directly with automotive dealer management systems (DMS) data.
  • Analytical and Problem-Solving Skills: Exceptional ability to interpret complex technical and financial data, distill key findings, and propose practical solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to clearly articulate complex technical analysis to both technical and non-technical
    audiences, including executive leadership.
  • Leadership and Influence: Demonstrated ability to lead projects, drive change across cross-functional teams, and influence key stakeholders without direct reporting authority.
  • Attention to Detail: Rigorous attention to detail to ensure the accuracy and integrity of all data and analytical reports.

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