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Data Science Engineer Jobs in Michigan (NOW HIRING)

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 ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

... data science best practices, actionable recommendations and a high bar for model quality and reliability. Data scientists work closely with data engineers, analysts, and business teams to design ...

Amgen

Sr. Data Scientist - Process Modeling

Detroit, MI · On-site

Doctorate degree OR Master's degree and 2 years of Data Science or Engineering experience OR Bachelor's degree and 4 years of Data Science or Engineering experience OR Associate's degree and 8 years ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

... Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse ... Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... one major programming language used in data science (e.g., Python, R). Skills Preferred: • Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP). • ...

Meijer, Inc.

Data Scientist II

Grand Rapids, MI · On-site

Deliver against the overall data science strategy to drive in-store and digital merchandising ... Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub

Orbotech

Data Engineer - Palantir

Ann Arbor, MI · On-site

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Experience: 2-4+ years of experience in data science, ideally within a software development or SaaS environment. * Education: Bachelor's degree in a quantitative field. * Programming & Modeling:

Kla

Data Engineer - Palantir

Ann Arbor, MI

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

KLA Corporation

Data Engineer - Palantir

Ann Arbor, MI · On-site

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI

Experience: 2-4+ years of experience in data science, ideally within a software development or SaaS environment. * Education: Bachelor's degree in a quantitative field. * Programming & Modeling:

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment. * Manage real-time data: Develop streaming data pipelines ...

Deloitte

Manager - Data Science / Data Lake

Detroit, MI · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

KLA Corporation

Data Engineer - Palantir

Ann Arbor, MI · On-site

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

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All JobsData Science Engineer JobsData Science Engineer Jobs in Michigan

Data Science Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data science engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data science engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What are the most commonly searched types of Data Science Engineer jobs in Michigan? The most popular types of Data Science Engineer jobs in Michigan are:
What are popular job titles related to Data Science Engineer jobs in Michigan? For Data Science Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Michigan look for? The top searched job categories for Data Science Engineer jobs in Michigan are:
What cities in Michigan are hiring for Data Science Engineer jobs? Cities in Michigan with the most Data Science Engineer job openings:
Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.
Data Scientist

Data Scientist

Delta Dental of Michigan

Okemos, MI • On-site

Full-time

Medical, Dental

Re-posted 20 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.

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