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Phd In Statistics Jobs in Michigan (NOW HIRING)

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science ... PhD in a quantitative discipline * (Preferred) Experience in the insurance industry Compensation ...

Sedgwick

Principal Data Scientist

Grand Rapids, MI · On-site

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline. * 8-12+ years of experience in data science, statistical modeling, or ...

Sedgwick

Principal Data Scientist

Lansing, MI · On-site

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline. * 8-12+ years of experience in data science, statistical modeling, or ...

Meijer Companies Ltd

Data Scientist

Grand Rapids, MI · On-site

Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field * 4+ years of relevant data science experience in an applied role preferable in retail ...

Meijer, Inc.

Data Scientist

Grand Rapids, MI · On-site

Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, Sociology or related quantitative field * 4+ years of relevant data science experience in an applied role preferable in retail ...

SiTime Corporation

MEMS Engineer II

Dexter, MI · On-site

$93K - $128K/yr

Apply statistical analysis to the collected measurement data * Participate in MEMS resonator design ... MS or PhD in MEMS, Electrical Engineering or Mechanical Engineering, Physics or equivalent. PhD ...

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Meijer, Inc.

Data Scientist II

Grand Rapids, MI · On-site

Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field * Certifications: Azure Data Science Associate, Azure AI, Safe Agile * 4+ years of relevant data ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
What are popular job titles related to Phd In Statistics jobs in Michigan? For Phd In Statistics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Michigan look for? The top searched job categories for Phd In Statistics jobs in Michigan are:
What cities in Michigan are hiring for Phd In Statistics jobs? Cities in Michigan with the most Phd In Statistics job openings:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist

Data Scientist

Auto-Owners Insurance

Lansing, MI • On-site

Full-time

Retirement, PTO

Posted 13 days ago

Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

16th of 277 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 from time to time.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking a data scientist to join our analytics teams. The position requires the person to:
  • 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.
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 2-4 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".
  • (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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