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Scientist Engineer Jobs in Michigan (NOW HIRING)

SwiftCruit

Data Scientist

Okemos, MI · On-site

$110 - $140/hr

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Corning

As a Machine Learning Engineer, you will work within a collaborative technical team to build ... You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move ...

Stellantis

AI Engineer - Supply Chain

Auburn Hills, MI · On-site

As an AI Engineer - Supply Chain, you will design and build production-grade AI agents that execute ... Collaborate with data science, automation, and product teams to embed predictive and prescriptive ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... programming. * Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... programming. * Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink ...

Conclusive Marketing

Data Scientist

Detroit, MI

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ...

OneMagnify

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ...

Stellantis

Data Scientist

Auburn Hills, MI

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 ...

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Showing results 41-60

All JobsScientist Engineer JobsScientist Engineer Jobs in Michigan

Scientist Engineer information

See Michigan salary details

$35.3K

$86.1K

$136.4K

How much do scientist engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for scientist engineer in Michigan is $86,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a scientist engineer?

Scientist engineers are professionals who combine scientific research and engineering principles to develop innovative solutions, products, or technologies. They typically conduct experiments, analyze data, and use their findings to design and improve systems or processes in various industries such as healthcare, energy, and manufacturing. Scientist engineers often work at the intersection of science and engineering, helping to bridge the gap between theoretical research and practical application. Their work can involve everything from developing new materials to advancing renewable energy sources.

What is the difference between Scientist Engineer vs Mechanical Engineer?

AspectScientist EngineerMechanical Engineer
Required CredentialsBachelor's or Master's in Engineering, Science, or related fields; often research-focusedBachelor's or Master's in Mechanical Engineering or related disciplines
Work EnvironmentResearch labs, R&D departments, industrial settingsDesign offices, manufacturing plants, construction sites
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonOften compared for research vs application roles in engineeringCompared for design, development, and manufacturing tasks

The main difference between a Scientist Engineer and a Mechanical Engineer lies in their focus. Scientist Engineers typically engage in research and development, emphasizing scientific investigation and innovation. Mechanical Engineers focus on designing, analyzing, and manufacturing mechanical systems. Both roles require engineering credentials, but Scientist Engineers are more research-oriented, while Mechanical Engineers are application-focused.

How do scientist engineers typically balance research responsibilities with engineering project deadlines?

Scientist Engineers often work in multidisciplinary teams where they must balance innovative research with the practical demands of engineering projects. This involves managing time efficiently, setting clear priorities, and maintaining open communication with both research and engineering colleagues. Regular meetings and project management tools are commonly used to track progress and ensure alignment with team goals. Successfully navigating these demands helps Scientist Engineers contribute both novel solutions and reliable, timely project outcomes.

What are the key skills and qualifications needed to thrive as a scientist engineer, and why are they important?

To thrive as a Scientist Engineer, you need a robust background in scientific principles, engineering fundamentals, and problem-solving, typically supported by a degree in engineering, physics, or a related field. Familiarity with data analysis tools, CAD software, laboratory instrumentation, and sometimes certifications like PE (Professional Engineer) is common. Strong analytical thinking, creativity, teamwork, and effective communication help you excel in multidisciplinary environments. These skills are essential for developing innovative solutions, ensuring project accuracy, and advancing technology in complex research or industrial settings.

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

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

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

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

What cities in Michigan are hiring for Scientist Engineer jobs?

Cities in Michigan with the most Scientist Engineer job openings:

Scientist Engineer jobs near you
Infographic showing various Scientist Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,077 per year, or $41.4 per hour.

Data Scientist

SwiftCruit

Okemos, MI • On-site

$110 - $140/hr

Other

Medical, Dental

Posted 8 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; has 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.

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