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Environmental Data Scientist Jobs in Michigan (NOW HIRING)

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... environment without regard to race, color, religion, gender, gender identity, gender expression ...

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 ...

... 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 ...

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... environment without regard to race, color, religion, gender, gender identity, gender expression ...

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Data Scientist Department: Finance Accountability: This Position Reports to the Senior Manager ... Work Environment - Office-Based Role (PA/OH/MI/MN/IN locations possible) * This role is primarily ...

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 ...

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 ...

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 ...

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 ...

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

Must have ability to work in a cross-functional team environment Ability to develop solutions to ... Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent Education ...

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 ...

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 ...

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 ...

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 ...

Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

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 ...

... environments. * Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science ... Operations Research, or equivalent field. * 3+ years of experience developing analytical or ...

... 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 ...

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Showing results 1-20

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 Aug 19, 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 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:

Infographic showing various Environmental Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Full-time

Medical, Dental

Re-posted 28 days ago


Job description

Job Title:

Data Scientist

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Hybrid Position

Job Summary:

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.


At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.

Primary Job Responsibilities:

  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.

#LI-Hybrid

Minimum Requirements:

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.