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Applied Data Science Jobs in Michigan (NOW HIRING)

OneMagnify

Data Scientist

Detroit, MI · On-site

... applied analytics environment * Familiarity with automotive or VIN data and complex industry-specific data structures * Exposure to AI-enabled analytics workflows or automation within a data science ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site

$140K - $182K/yr

Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related ... data management standards and applied data governance practices aligned with data privacy ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will be part of a talented team of data scientists, engineers, driving predictive analytics and ... Solid understanding of statistics, exploratory data analysis, and applied machine learning.

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

This role operates at the intersection of optimization, enterprise data integration, and applied ... Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ...

GM Financial

Sr Data Scientist

Detroit, MI · On-site

Advanced knowledge and demonstrated understanding of applied methodologies including least squares ... Computer Science, Physics or similar quantitative field required (a combination of education ...

Stellantis

ICT Data Engineer

Auburn Hills, MI

$108K - $130K/yr

You will be part of a talented team of data scientists, engineers, driving predictive analytics and ... Solid understanding of statistics, exploratory data analysis, and applied machine learning.

Cisco

Applied AI Scientist

Ann Arbor, MI · On-site

Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a ... and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$140K - $182K/yr

... data management standards and applied data governance practices aligned with data privacy ... Computer Science, Computer Engineering, or a related field and 5 years of progressive, post ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Minimum 5 years of experience in data science, machine learning, or applied statistics * Strong experience with Databricks (critical requirement) * Proficiency in Python (Pandas, NumPy, scikit-learn ...

Ilitch

Applied AI Engineer

Detroit, MI

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data ... Bachelor's orMaster's degree in Computer Science, Data Science, Engineering, Mathematics, or a ...

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a ...

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Applied Data Science information

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

What are popular job titles related to Applied Data Science jobs in Michigan? For Applied Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Applied Data Science jobs in Michigan look for? The top searched job categories for Applied Data Science jobs in Michigan are:
What cities in Michigan are hiring for Applied Data Science jobs? Cities in Michigan with the most Applied Data Science job openings:
Applied Data Science jobs near you
Infographic showing various Applied Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

OneMagnify

Detroit, MI • On-site

Full-time

Posted 17 days ago

Job description

Data Scientist
Role Summary
OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. This role is a fit for someone who wants to do serious technical work and see it matter in the real world.
The Impact You'll Have
The clients you'll support are making high-stakes decisions about customers, markets, and products. Your models, including forecasting demand, segmenting audiences, and optimizing spend, become the analytical backbone of how they operate. When your work is right, it drives measurable outcomes. When it's wrong, someone notices. That accountability is part of what makes this role interesting.
You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That means writing code and documentation that others can reproduce, maintain, and extend. Shipping a model is the beginning, not the end. Cross-functional collaboration with engineering, strategy, and delivery teams is part of the daily rhythm, and your ability to translate between technical and business contexts will be used constantly.
The work spans industries and problem types (automotive, retail, financial services, and more) so you'll develop breadth alongside depth. You'll rarely work on the same type of problem twice in a row.
What You'll Do
Build and validate analytical models
  • Design, deploy, and monitor models including forecasting, classification, regression, and segmentation
  • Conduct A/B testing and causal analyses with rigorous experimental design and clear documentation
  • Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure reproducibility across the full model lifecycle

Own data integration and quality
  • Integrate data from multiple sources and develop data-quality reporting that surfaces issues before they become client problems
  • Conduct root-cause analysis on data anomalies and validate database changes prior to release
  • Use Databricks for large-scale data processing and machine learning workflows

Translate requirements into technical solutions
  • Partner with business and engineering teams to elicit requirements, define business rules, and turn them into technical specifications
  • Document solutions clearly enough that someone else can maintain and extend your work
  • Ensure alignment between what clients ask for and what gets built

Communicate findings to varied audiences
  • Synthesize and present analytical findings to internal and external stakeholders, including executive-level audiences, with the judgment to handle complex or sensitive inquiries with care
  • Build metrics and KPI reports that inform real business decisions, not just dashboards that get ignored
  • Prepare visualizations in Tableau and Power BI that make complex outputs accessible

Support collaborative development
  • Use Git/GitLab for version control, reproducibility, and collaborative code development
  • Collaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow
  • Adhere to data governance, privacy, and compliance standards across all work

What You'll Need
  • BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related quantitative field - or equivalent practical experience
  • 2-5+ years of hands-on analytics including predictive modeling, A/B testing, and optimization
  • Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and data warehouses
  • Hands-on experience with Databricks for large-scale data processing and machine learning workflows
  • Proficiency with Tableau and/or Power BI for visualization and reporting
  • Experience with Git/GitLab for version control and collaborative development
  • Strong Excel and PowerPoint skills
  • Proven ability to present analyses to management and collaborate with both business and technical stakeholders
  • Experience diagnosing and resolving data-quality issues across multiple platforms
  • Understanding of data governance, privacy, and compliance standards
  • Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration

Future-Ready Skills (Nice to Have)
  • Proficiency with SAS or R in an applied analytics environment
  • Familiarity with automotive or VIN data and complex industry-specific data structures
  • Exposure to AI-enabled analytics workflows or automation within a data science context
  • Experience working in integrated marketing, consulting, or digital services environments where analytics supports client-facing delivery

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