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Research Data Scientist Jobs in Michigan (NOW HIRING)

Bachelor's degree in a quantitative discipline (e.g., Operations Research, Applied Mathematics, Optimization, Data Science or other quantitative field) * Automotive experience * Minimum of 5 years of ...

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... D. in operations research, engineering, computer science, applied statistics, economics, physics ...

New

Minimum of 5 years of experience in operations research, systems engineering, data science, or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Research double major We are proud to offer our employees, their domestic partners, and their ...

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Must be able to work independently to research, analyze, and form solutions. * Must be able to ...

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Must be able to work independently to research, analyze, and form solutions. * Must be able to ...

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

... research, analyze, and form solutions Must be able to translate data into information; resulting in data-driven actions/recommendations Proficiency in areas such as probability and statistics ...

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... Research and Innovation: Staying current with AI advancements (e.g., Generative AI, LLMs) and ...

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Identify relationships and trends or any factors that could affect the results of research

Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) * Proficiency in SQL or other data querying language * An understanding of ...

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field. * 3+ years of experience developing analytical or optimization models in ...

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Research Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do research data scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for research data scientist 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 does a research data scientist do?

A Research Data Scientist applies advanced analytical, statistical, and machine learning techniques to explore and extract insights from complex datasets, often in academic, industrial, or government research settings. They work on developing new models, improving methodologies, and contributing to scientific discoveries by leveraging data-driven approaches. Their role involves designing experiments, implementing algorithms, and communicating findings to stakeholders or publishing results in research papers.

What are the key skills and qualifications needed to thrive as a research data scientist?

To thrive as a Research Data Scientist, you need a strong background in statistics, machine learning, data analysis, and a relevant advanced degree such as in computer science, mathematics, or a related field. Expertise in programming languages like Python or R, familiarity with data visualization tools, and experience using databases and cloud computing platforms are highly valued, as are certifications in data science or analytics. Exceptional problem-solving abilities, curiosity, clear communication, and the ability to work collaboratively across multidisciplinary teams are important soft skills. These skills and qualities are essential for designing rigorous research studies, interpreting complex data, and delivering impactful scientific or business solutions.

Are research data scientists still in demand?

Research data scientists are currently in high demand due to the increasing reliance on data-driven decision making across industries. They typically require strong skills in statistical analysis, programming, and machine learning, and often work with tools like Python, R, and SQL. The role offers opportunities in academia, industry, and government sectors, with a positive job outlook expected to continue as data becomes more integral to business strategies.

What are the most commonly searched types of Research Data Scientist jobs in Michigan?

The most popular types of Research Data Scientist jobs in Michigan are:

What job categories do people searching Research Data Scientist jobs in Michigan look for?

The top searched job categories for Research Data Scientist jobs in Michigan are:

Infographic showing various Research Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 7 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

Job Overview:
The Commercial Analytics group is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial recommendations while promoting data science best practices, actionable outputs and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
  • Communicate complex results clearly to both technical and non-technical audiences.
  • Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
  • Develop and validate models using techniques such as regression, optimization (linear programming, dynamic programming, etc.), gradient boosting, dimensionality reduction and neural networks.
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance.
  • Conduct peer code reviews and support best practices in model development and deployment.
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Operations Research, Applied Mathematics, Optimization, Data Science or other quantitative field)
  • Automotive experience
  • Minimum of 5 years of experience in operations research, systems engineering, data science, or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of mathematical concepts like:
    • Regression (linear, logistic)
    • Linear & Non-Linear Programming
    • Network Flow Models
    • Dynamic Programming
    • Simulation
    • Stochastic Optimization
    • Tree-based models (Random Forest, XGBoost, LightGBM)
    • Neural networks
    • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Experience communicating optimization tradeoff and recommendations to executive stakeholders

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