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Experienced Data Scientist

Auto-Owners Insurance Open
Lansing Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Auto-Owners Insurance. Lansing · full-time · no salary stated · we estimate $116,263–$174,915 across the United States.

Estimated pay

Auto-Owners Insurance has not published a salary for this role. The figure below is our estimate, not theirs.

$116,263 – $174,915
What the middle half of mid-level data science roles in the United States paid, among postings that did state a salary.
Worked out from 478 postings that stated pay, median $143,050. Last updated Nov 6, 2026.
RoleData Science
SeniorityMid-level
LocationLansing
EmploymentFull-time
PostedMar 17, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and validate statistical and machine learning models for complex business needs, then put them into use within regulatory requirements
  • Explore large, complex datasets and learn the company’s data structures and metrics
  • Run focused analyses and explain findings to stakeholders at different levels using visual displays of quantitative information
  • Work with developers, architects and business leaders to prototype solutions, document models and improve their performance over time

What you bring

  • A master’s degree in a quantitative field and at least five years building models with large datasets
  • You can query data with SQL or a similar language and understand statistical and machine learning methods
  • You have managed models from validation through monitoring and performance improvements
  • You can explain technical work clearly in writing and conversation

Who this fits

This role suits an experienced data scientist who can own model work from development through ongoing monitoring and collaborate across technical and business teams. You must be able to work in the Lansing office twice a week after initial in-person training, with the option to work from home up to three days weekly. You must be authorized to work in the U.S. without current or future sponsorship.

From the employer

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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Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.