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Environmental Data Scientist 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 commercial ... Contribute to the maintenance of models in production environments, ensuring scalability and ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Data Scientist Help Build the Data Behind What's Next ArtiFlex is building a proprietary data environment that brings together information from Salesforce, ERP systems, and other internal databases.

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

$90 - $130/hr

ArtiFlex is building a proprietary data environment that brings together information from ... We're looking for a Data Scientist to help build and support this evolving data environment. You'll ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

We're looking for a Data Scientist to help build and support this evolving data environment. You'll ... work with complex data, develop analytical and predictive solutions, and partner with business and ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Contribute to the maintenance of models in production environments, ensuring scalability and ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Job Overview: The Commercial Analytics group is looking for a Data Scientist to join our team ... Contribute to the maintenance of models in production environments, ensuring scalability and ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment. * Must ...

General Motors

Data Scientist

Warren, MI · On-site

$120 - $190/hr

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... We strongly believe that providing an inclusive workplace creates an environment in which our ...

United State Cold Storage Inc / USCS

$105K - $130K/yr

Experience working in supply chain, logistics, manufacturing, or operations-heavy environments ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

New

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment. * Must ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Contribute to the maintenance of models in production environments, ensuring scalability and ...

Geologics Corporation

Data Scientist

Sterling Heights, MI · On-site

$72 - $85/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment. * Must ...

OneMagnify

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Proficiency with SAS or R in an applied analytics environment. * Familiarity with automotive or VIN ...

Conclusive Marketing

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Proficiency with SAS or R in an applied analytics environment * Familiarity with automotive or VIN ...

OneMagnify

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Proficiency with SAS or R in an applied analytics environment * Familiarity with automotive or VIN ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our ... We offer a friendly, hybrid work environment with primary work from home ability and monthly ...

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All JobsEnvironmental Data Scientist JobsEnvironmental Data Scientist Jobs in Michigan

Environmental Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do environmental data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for environmental data scientist in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What is an environmental data scientist?

An Environmental Data Scientist analyzes large datasets related to environmental issues, such as climate change, pollution, and biodiversity. They use statistical models, machine learning, and geospatial analysis to extract insights and support decision-making. Their work helps organizations develop sustainable solutions and policies based on data-driven evidence. Environmental Data Scientists often collaborate with scientists, policymakers, and industry professionals to address ecological challenges.

What does an environmental data scientist do?

A typical workday for an Environmental Data Scientist involves gathering and cleaning environmental datasets, conducting statistical analyses or modeling, and visualizing results for various stakeholders. You may collaborate with environmental engineers, researchers, and policy makers to interpret data trends and support ecological assessments or sustainability initiatives. Regular tasks often include coding, preparing reports, and presenting findings to team members or clients. The role blends independent analytical work with teamwork, making communication and project management skills essential for success.

What are the key skills and qualifications needed to thrive as an environmental data scientist?

Environmental Data Scientists typically require a solid background in statistics, environmental science, and data analysis, often supported by a relevant bachelor’s or master’s degree. Familiarity with programming languages such as Python or R, experience using GIS software, and knowledge of data visualization tools are key, while certifications in data science or environmental analysis can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals articulate complex findings and collaborate across multidisciplinary teams. These capabilities enable Environmental Data Scientists to reliably interpret large datasets and provide actionable insights for environmental decision-making.

What are the most commonly searched types of Environmental Data Scientist jobs in Michigan?

The most popular types of Environmental Data Scientist jobs in Michigan are:

What are popular job titles related to Environmental Data Scientist jobs in Michigan?

For Environmental Data Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Environmental Data Scientist jobs in Michigan look for?

The top searched job categories for Environmental Data Scientist jobs in Michigan are:

What cities in Michigan are hiring for Environmental Data Scientist jobs?

Cities in Michigan with the most Environmental Data Scientist job openings:

Environmental Data Scientist jobs near you
Infographic showing various Environmental Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 16 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers

Job description

Job Overview:
The Commercial Analytics group is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial recommendations while promoting data science best practices, actionable outputs and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
  • Communicate complex results clearly to both technical and non-technical audiences.
  • Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
  • Develop and validate models using techniques such as regression, optimization (linear programming, dynamic programming, etc.), gradient boosting, dimensionality reduction and neural networks.
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance.
  • Conduct peer code reviews and support best practices in model development and deployment.
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Operations Research, Applied Mathematics, Optimization, Data Science or other quantitative field)
  • Automotive experience
  • Minimum of 5 years of experience in operations research, systems engineering, data science, or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of mathematical concepts like:
    • Regression (linear, logistic)
    • Linear & Non-Linear Programming
    • Network Flow Models
    • Dynamic Programming
    • Simulation
    • Stochastic Optimization
    • Tree-based models (Random Forest, XGBoost, LightGBM)
    • Neural networks
    • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Experience communicating optimization tradeoff and recommendations to executive stakeholders

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