ZipRecruiter

Log In

1

Experienced Data Scientist Jobs in Michigan (NOW HIRING)

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Required : • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field) • Minimum of 5 years of experience in data science, econometrics or a related ...

Howmet Aerospace

Data Scientist

Whitehall, MI · On-site

Professional data science experience OR a Master's degree in STEM field. Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at ...

Judge Group, Inc.

Data Scientist

Sterling Heights, MI

$57 - $58/hr

Experience with structured problem solving techniques Knowledge of technical requirements and ... Bachelor's Degree in Data Management, Data Science, Math 6 years Responsible for designing ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

Rock Connections

Data Scientist

Detroit, MI

Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

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 ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g ...

Faurecia

Data Scientist

Auburn Hills, MI · On-site

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Data Scientist ...

Advantasure, Inc.

Data Scientist

Detroit, MI · On-site

Demonstrated experience establishing and enforcing team-level generative AI guidelines, including ... Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science ...

Faurecia

Data Scientist

Auburn Hills, MI

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role Summary As a Data Scientist ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107.85K - $182.34K/yr

You may not check every box, or your experience may look a little different from what we've ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with cloud-based data science platforms, preferably Databricks and ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with cloud-based data science platforms, preferably Databricks and ...

next page

Showing results 1-20

People also search for

All JobsExperienced Data Scientist JobsExperienced Data Scientist Jobs in Michigan

Experienced Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do experienced data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for experienced data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Experienced Data Scientist, and why are they important?

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What are experienced data scientists?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What is the difference between Experienced Data Scientist vs Data Analyst?

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

What are popular job titles related to Experienced Data Scientist jobs in Michigan? For Experienced Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Experienced Data Scientist jobs in Michigan look for? The top searched job categories for Experienced Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Experienced Data Scientist jobs? Cities in Michigan with the most Experienced Data Scientist job openings:
Experienced Data Scientist jobs near you
Data Scientist

Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 4 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Job Summary:
Stellantis is seeking a Data Scientist to join their Commercial Analytics team. The role involves building and scaling data science products for marketing performance measurement, collaborating with various stakeholders to implement advanced algorithms, and ensuring high model quality and reliability.
Responsibilities:
• Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases
• Design and implement econometric and causal inference models to quantify the impact of vehicle incentives, pricing, and commercial levers on sales, margin, and demand
• Estimate and interpret price and incentive elasticities across brands, segments, and regions, informing pricing and go-to-market strategies
• 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 predictive models using techniques such as regression, random forests, gradient boosting, causal modeling 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
Qualifications:
Required:
• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
• Minimum of 5 years of experience in data science, econometrics 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 machine learning algorithms like: Regression (linear, logistic), Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
• Experience with experimental design, and statistical inference
• Ability to translate complex data into actionable insights for business stakeholders
Preferred:
• Master’s degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
• Automotive experience
• Tree-based models (Random Forest, XGBoost, LightGBM)
• Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
• Experience using PySpark for distributed data processing and feature engineering
• Experience with Power BI or similar tools for data visualization and dashboarding
• 2+ years of experience working with finance / pricing / incentives data
• 2+ years of experience working with sales / commercial data
• Strong communication and storytelling skills with the ability to influence decision-makers
• Understanding of CI/CD workflows for automating model testing and deployment
• Experience working with real-time data pipelines and event-driven architectures
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply