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Experienced Data Scientist Jobs in Michigan (NOW HIRING)

Stellantis

Data Scientist

Auburn Hills, MI · On-site

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

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Data Scientist Number of Positions: 1 Location: Okemos, MI Location Specifics: Hybrid Position Job ... Position requires experience in statistical modeling methods, machine learning algorithms ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

You have 3+ years of experience in Data Science, Business Analytics, or a related field . * You have strong database management skills using SQL for querying, aggregating, and analyzing data. * You ...

General Motors

Data Scientist

Warren, MI

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

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 ...

General Motors

Data Scientist

Warren, MI · On-site

The Role As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of ... Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning ...

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Experience developing requirements for collection of and follow on use of data to inform the ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark

Geologics

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

Role: Data Scientist Client: Top Aerospace and Defense company Location: Sterling Heights, MI ... Experience developing requirements for collection of and follow on use of data to inform the ...

Judge Group, Inc.

Data Scientist

Sterling Heights, MI · On-site

$50 - $58/hr

Experience with structured problem solving techniques Knowledge of technical requirements and ... Bachelor's Degree in Data Management, Data Science, Math, Statistics or equivalent Education ...

Conclusive Marketing

Data Scientist

Detroit, MI

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Hands-on experience with Databricks for large-scale data processing and machine learning workflows

OneMagnify

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Hands-on experience with Databricks for large-scale data processing and machine learning workflows

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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 Sep 1, 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 is an experienced data scientist?

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 are the key skills and qualifications needed to thrive as an experienced data scientist?

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 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.

How much do experienced data scientists make?

Experienced data scientists typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, or big data tools can command higher compensation, often exceeding $160,000 per year.

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:

Experienced Data Scientist jobs near you

Experienced Data Scientist

Auto-Owners Insurance

Lansing, MI • On-site

Full-time

Retirement, PTO

Re-posted 4 days ago

Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

23rd of 315 rated insurance

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 twice a week.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking an experienced data scientist to join our analytics teams. The position requires the person to:
  • Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements
  • 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.
  • Demonstrated experience owning end-to-end model lifecycle, including validation, monitoring, and performance optimization
  • Experience mentoring junior data scientists or leading analytical workflows preferred
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 5+ 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". Candidates with less than 5 years of experience, please use the job posting for "Data Scientist".
  • (Preferred) Experience developing and deploying analytics solutions in cloud environments such as AWS
  • (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

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