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Masters In Statistics Jobs in Michigan (NOW HIRING)

Varsity Tutors

Business Statistics Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

What We Look For In a Business Statistics Tutor * Advanced Subject Mastery: Deep knowledge of ... MBA quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ...

Varsity Tutors

Business Statistics Tutor

Detroit, MI · Remote

$18 - $40/hr

What We Look For In a Business Statistics Tutor * Advanced Subject Mastery: Deep knowledge of ... MBA quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ...

Varsity Tutors

Business Statistics Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

What We Look For In a Business Statistics Tutor * Advanced Subject Mastery: Deep knowledge of ... MBA quantitative coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking down ...

MMS

Study Design Statistician (Remote)

Canton, MI · On-site

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred. * 5-7 years of experience in the application of medical statistics ...

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All JobsMasters In Statistics JobsMasters In Statistics Jobs in Michigan

Masters In Statistics information

See Michigan salary details

$35.3K

$72.9K

$102K

How much do masters in statistics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for masters in statistics in Michigan is $72,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $101,100.00 per year, depending on experience, location, and employer.

What can you do with a master's in statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a master's in statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

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

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

What are popular job titles related to Masters In Statistics jobs in Michigan? For Masters In Statistics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Masters In Statistics jobs in Michigan look for? The top searched job categories for Masters In Statistics jobs in Michigan are:
What cities in Michigan are hiring for Masters In Statistics jobs? Cities in Michigan with the most Masters In Statistics job openings:
Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in Michigan as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $72,915 per year, or $35.1 per hour.

Data Science Analyst / Data Scientist

Resource Point LLC

Detroit, MI • On-site

Contractor

Re-posted 6 hours ago

Job description

Job Title: Senior Data Science Analyst

Location: Detroit, MI

Duration: 6 months contract

Job Description:

Department: Analytics COE

  • Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models.
  • Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams.

Required Skills and Experience:

  • Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).
  • Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.
  • Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences. 
  • Programming: Proficient in Python
  • Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.
  • Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).
  • Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.
  • Prior experience in the healthcare industry preferred.

Education/Certifications:

  • Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.
  • Masters in related field is preferred.