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New Grad Data Scientist Jobs in Michigan (NOW HIRING)

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and ... Identifies new analytical trends/data needs and repeatable analytic solutions and works with ...

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

In addition, the Principal Data Scientist provides technical expertise with a focus on bank and ... Identifies new analytical trends/data needs and repeatable analytic solutions and works with ...

Data Scientist - Conversational AI

Dearborn, MI · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Design and analyze A/B tests to measure the impact of prompt adjustments, model updates, and new ... Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning ...

Senior Data Scientist

Dearborn, MI

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... Inquisitive, proactive, and interested in learning new tools and techniques * Demonstrated hands on ...

Senior Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... Inquisitive, proactive, and interested in learning new tools and techniques * Demonstrated hands on ...

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new ...

Lead Data Scientist

Detroit, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven ... Support innovation by identifying new tools, methods, and data sources-including the use of ...

Lead Data Scientist

Detroit, MI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

As Lead Data Scientist, you will play a critical role in delivering impactful, data-driven ... Support innovation by identifying new tools, methods, and data sources-including the use of ...

Showing results 21-40

New Grad Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do new grad data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for new grad 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 is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

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

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What cities in Michigan are hiring for New Grad Data Scientist jobs? Cities in Michigan with the most New Grad Data Scientist job openings:
Infographic showing various New Grad Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, 6% Part Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Full-time

Retirement, PTO

Re-posted 15 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.

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