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Data Science Degree Jobs in Michigan (NOW HIRING)

OneMagnify

Manager, Data Science

Detroit, MI · On-site

... degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) Preferred : • Hands-on experience with tools such as Databricks, Azure Machine Learning ...

Conclusive Marketing

Manager, Data Science

Detroit, MI · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) * Experience in integrated marketing, digital agency, marketing services, or ...

OneMagnify

Manager, Data Science

Detroit, MI · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred) * Experience in integrated marketing, digital agency, marketing services, or ...

Rock Connections

Manager, Data Science

Detroit, MI

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... Bachelor's degree in computer science, statistics or a related field * Proficiency in the Microsoft ...

DataAnnotation

Data Science Consultant

Lansing, MI · On-site +1

$40/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Padagis LLC

Internship, Data Science

Wyoming, MI · Hybrid

$27/hr

Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or ...

Padagis LLC

Internship, Data Science

Wyoming, MI · On-site

$27/hr

Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or ...

Padagis

Internship, Data Science

Wyoming, MI · Hybrid

Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

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 ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

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 ...

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$107K

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How much do data science degree jobs pay per year?

As of May 28, 2026, the average yearly pay for data science degree 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 are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a Data Science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is a Data Science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

Is data science dead in 10 years?

Data science is a growing field that is expected to remain relevant over the next decade, as organizations continue to rely on data analysis, machine learning, and statistical skills. Advances in automation and AI may change some roles, but the need for skilled data scientists to interpret complex data and develop models will persist. Continuous learning and proficiency with tools like Python, R, and SQL are essential for long-term career success in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Data Science Degree jobs in Michigan? For Data Science Degree jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Michigan look for? The top searched job categories for Data Science Degree jobs in Michigan are:
What cities in Michigan are hiring for Data Science Degree jobs? Cities in Michigan with the most Data Science Degree job openings:
Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Michigan as of May 2026, with employment types broken down into 78% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.
Manager, Data Science

Manager, Data Science

OneMagnify

Detroit, MI • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. As Manager of Data Science, you will lead a team of data scientists and analysts to deliver impactful, data-driven solutions, bridging strategy and execution while ensuring technical excellence and collaboration.
Responsibilities:
• Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions
• Lead the design and execution of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) solutions, including measurement strategy, model development, validation, and actionable insight delivery to inform media optimization and investment decisions
• Lead and mentor a team of data scientists and analysts, fostering technical growth and cross-functional collaboration
• Translate client goals into clear modeling strategies, project plans, and deliverables
• Guide the development of production-level model pipelines using tools such as Databricks and Azure ML
• Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications
• Monitor and improve model performance, ensuring high standards for reliability and business relevance
• Present complex analytical results to technical and non-technical audiences in a clear, actionable format
• Support innovation by identifying new tools, methods, and data sources—including the use of Snowflake for modern data architecture
• Promote best practices in model governance, data ethics, and responsible AI
Qualifications:
Required:
• Minimum 5-7 years of experience in data science, analytics, or predictive modeling
• Proven leadership experience leading analytics teams or high-impact data science projects
• Strong programming skills in Python, R, or SAS for modeling and data analysis
• Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)
• Expertise in regression, classification, clustering, A/B testing, and audience segmentation
• Proficiency with Tableau, Power BI, and Excel for data visualization and communication
• Strong communication skills and the ability to translate complex technical findings into business insight
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master’s preferred)
Preferred:
• Hands-on experience with tools such as Databricks, Azure Machine Learning, and Snowflake strongly preferred
• Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus
• Experience designing or leading Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or other advanced marketing measurement frameworks is a strong plus
• Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred
Company:
At OneMagnify, we help transformational brands turn insight into action. Founded in 1967, the company is headquartered in Detroit, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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