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Data Science Associate Jobs in Michigan (NOW HIRING)

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 · 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 ...

Auto-Owners Insurance

Data Specialist

Lansing, MI · On-site

Our group of caring associates create financial security by helping individuals and businesses make ... Bachelor's degree in mathematics, statistics, actuarial science, data science, or related field is ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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All JobsData Science Associate JobsData Science Associate Jobs in Michigan

Data Science Associate information

See Michigan salary details

$50.1K

$59.3K

$112.4K

How much do data science associate jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science associate in Michigan is $59,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $51,900.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Data Science Associate jobs in Michigan? For Data Science Associate jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Michigan look for? The top searched job categories for Data Science Associate jobs in Michigan are:
What cities in Michigan are hiring for Data Science Associate jobs? Cities in Michigan with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Michigan as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $59,302 per year, or $28.5 per hour.

Experienced Data Scientist

Auto Owners Insurance Company

Lansing, MI

Full-time

Retirement, PTO

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 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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