ZipRecruiter

Log In

1

Quantitative Data Engineer Jobs in Michigan (NOW HIRING)

OneMagnify

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

You'll work alongside Data Engineering, AI, and cross‑functional teams to design and deploy ... quantitative field--or equivalent practical experience. * 2-5+ years of hands‑on analytics ...

GM Financial

Sr Data Scientist

Detroit, MI · On-site

The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ... Industrial Engineering, Computer Science, Physics or similar quantitative field required (a ...

Conclusive Marketing

Data Scientist

Detroit, MI

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... quantitative field - or equivalent practical experience * 2-5+ years of hands-on analytics ...

Deloitte

Lead AI and Data Science Engineer II

Detroit, MI · On-site

$101K - $133K/yr

... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Deloitte

Lead AI and Data Science Engineer II

Midland, MI · On-site

$88K - $115K/yr

... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

OneMagnify

Data Scientist

Detroit, MI · On-site

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... quantitative field - or equivalent practical experience * 2-5+ years of hands-on analytics ...

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 ...

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 ...

New

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 ...

Socket.dev

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, Quantitative Methods, Statistics, Engineering, or a related discipline; an equivalent combination of education and ...

New

Ford Motor Company

Data Anchor

Dearborn, MI

$85K - $192K/yr

Master's degree in Data Science, Computer Science, Computer Engineering, Statistics, or a related highly quantitative field. * Experience: 5+ years of combined experience in Data Science, Data ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

... Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience. • Strong programming skills in Python; working familiarity with the production ML stack used in ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

... Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience. • Strong programming skills in Python; working familiarity with the production ML stack used in ...

previous pagenext page

Showing results 21-40

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Michigan

Quantitative Data Engineer information

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

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Michigan? For Quantitative Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Michigan look for? The top searched job categories for Quantitative Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Quantitative Data Engineer jobs? Cities in Michigan with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Auto Owners Insurance Company

Lansing, MI

Full-time

Retirement, PTO

Re-posted 19 days ago

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Please note we are not currently hiring fully remote positions.All candidates must have the ability to work in our home office in Lansing, Michigan from time to time.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to:

  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience

  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 2-4 years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler".
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits

The salary offered will be commensurate with skills and experience.

We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.

Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

#LI-DNI #IN-DNI

Apply