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Data Science Engineer Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Bachelor's degree in Computer Science & Engineering, related field or equivalent combination of ... Advanced data manipulation and analysis using libraries such as Pandas. * 3+ years of experience in ...

DTE Energy

Senior Data Scientist

Detroit, MI · On-site

Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

DTE Energy

Senior Data Scientist

Detroit, MI · On-site

Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and ...

DTE Energy

Expert Data Scientist

Detroit, MI

D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.) * Advanced business acumen and ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.) * Advanced business acumen and ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

SynergisticIT

Junior Data Engineer

Detroit, MI

Recent computer science/engineering/mathematics/statistics or science graduates or people looking ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

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 ...

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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 Jun 1, 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 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 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.
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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 May 2026, with employment types broken down into 61% Full Time, 35% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.
AI/ML Specialist (Data Science & Intelligent Automation)

AI/ML Specialist (Data Science & Intelligent Automation)

HTC Global Services Inc

Dearborn, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Job Title AI/ML Specialist (Data Science & Intelligent Automation) Overview / Summary We are seeking an AI/ML Specialist responsible for developing intelligent programs, cognitive applications, and algorithms for data analysis and automation. This role focuses on leveraging advanced AI techniques such as deep learning, generative AI, natural language processing, and intelligent automation to solve complex business problems and deliver data-driven insights. Key Responsibilities Understand business requirements and develop AI algorithms, models, and programs to solve complex problems Generate recommendations, extract patterns, and make predictions from structured and unstructured data Interpret sensor data such as images and sound Develop and orchestrate automation solutions and enable self-service capabilities Perform large-scale experimentation and build data-driven applications Translate data into actionable intelligence Apply AI techniques including deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, and virtual assistants Research and optimize AI technologies to improve efficiency and accuracy Partner with stakeholders to gather and document business requirements and translate them into technical specifications Deploy and integrate AI models developed internally or by third-party vendors Collaborate with engineering teams to align models with enterprise data structures Execute AI-assisted software development practices using AI tools Design and maintain data pipelines supporting model inference and automation workflows Develop reusable integration patterns and data structures to support scalability across business units Required Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field 5+ years of experience in AI/ML, data science, or advanced analytics Experience delivering production-grade solutions in enterprise environments Strong proficiency in Python and SQL Familiarity with Graph Query Languages (e.g., Cypher) Experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) Experience designing and implementing AI-focused software development lifecycle processes Strong expertise in cloud platforms and data integration patterns Strong analytical, problem-solving, and critical thinking skills Effective communication and stakeholder management skills What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team.

Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity.

HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier.

We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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