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Physics Data Analyst Jobs in Michigan (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

... Physics, Data Science, Econometrics, etc.) * Advanced business acumen and utility/energy industry experience * Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program ...

DTE Energy

Expert Data Scientist

Detroit, MI

... Physics, Data Science, Econometrics, etc.) * Advanced business acumen and utility/energy industry experience * Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program ...

Varsity Tutors

IB Physics Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

Varsity Tutors

IB Physics Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

Varsity Tutors

IB Physics Tutor

Detroit, MI · Remote

$18 - $40/hr

... analyzing electric circuits, solving wave problems, processing experimental data with error ... Emphasizes connecting physics to real-world applications and develops skills for the Internal ...

Varsity Tutors

College Physics Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

Varsity Tutors

College Physics Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

Varsity Tutors

College Physics Tutor

Detroit, MI · Remote

$18 - $40/hr

What We Look For In a College Physics Tutor * Advanced Subject Mastery: Deep knowledge of classical ... analyzing wave interference patterns, and interpreting experimental data. Emphasizes connecting ...

Varsity Tutors

AP Physics 2 Tutor

Detroit, MI · Remote

$18 - $40/hr

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

Varsity Tutors

AP Physics 2 Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

Varsity Tutors

AP Physics 2 Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Guides students through applying Gauss law, analyzing RC circuits, solving thermodynamic cycle ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

OpTech

Scientist-Research Engineer (ML)

Dearborn, MI · On-site

Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data. * Build machine learning and physics-informed models to analyze component health and degradation.

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Redefining mobility requires quality data, metrics and analytics, as well as insightful ... Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related ...

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All JobsPhysics Data Analyst JobsPhysics Data Analyst Jobs in Michigan

Physics Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do physics data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for physics data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does a physics data analyst do?

A Physics Data Analyst collects, processes, and interprets large sets of data generated from physics experiments or simulations. They use statistical methods, programming, and specialized software to extract meaningful insights and support scientific research. Their work often involves cleaning data, identifying trends, creating visualizations, and collaborating with physicists to draw conclusions that can advance understanding in areas such as particle physics, astrophysics, or materials science.

What are some common challenges physics data analysts face when interpreting experimental data?

Physics Data Analysts often work with large, complex datasets that may contain noise or inconsistencies due to experimental limitations. One common challenge is accurately distinguishing between meaningful patterns and random fluctuations, which requires strong statistical knowledge and experience with data-cleaning techniques. Additionally, analysts must frequently collaborate with physicists and engineers to understand the context of the data and ensure proper interpretation, making strong communication skills important. Overcoming these challenges involves continually updating technical skills and staying current with best practices in both physics and data analysis.

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

To thrive as a Physics Data Analyst, you need a solid background in physics, mathematics, and statistical analysis, often supported by a degree in physics or a related field. Proficiency with programming languages like Python or MATLAB, data visualization tools, and familiarity with statistical software and databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with diverse teams. These skills ensure accurate analysis, meaningful data-driven conclusions, and successful collaboration in research or industry environments.

What is the difference between Physics Data Analyst vs Data Scientist?

AspectPhysics Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Physics, Data Analysis, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific organizations, industry R&DTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, aerospace, energyTech firms, finance, marketing
Common Search & ComparisonPhysics Data Analyst vs Data Scientist

The main difference between a Physics Data Analyst and a Data Scientist lies in their focus and industry. Physics Data Analysts typically work in research or scientific environments, applying physics principles to analyze data. Data Scientists have a broader scope, often working across industries like tech, finance, and healthcare, utilizing advanced statistical and machine learning techniques. Both roles require strong analytical skills, but their applications and work settings differ.

What are popular job titles related to Physics Data Analyst jobs in Michigan?

For Physics Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Physics Data Analyst jobs in Michigan look for?

The top searched job categories for Physics Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Physics Data Analyst jobs?

Cities in Michigan with the most Physics Data Analyst job openings:

Physics Data Analyst jobs near you
Infographic showing various Physics Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Expert Data Scientist

DTE Energy

Detroit, MI • On-site

Full-time

Re-posted 18 days ago

DTE Energy rating

8.6

Company rating: 8.6 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

11th of 53 rated energy and utility

Job description

DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer's homes and Michigan's progress for more than a century. And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier environment to power our future. We're also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.
But we're more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you'll be part of a team that welcomes, recognizes, and celebrates differences and values everyone's health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.
Testing Required: Not Applicable
Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an assigned work location. Any remote work is expected to be performed from an employee's primary residence, unless allowed (or prohibited) through the Company's remote work guidelines.
Emergency Response: Yes - Must be available to perform a primary assignment in support of DTE's emergency response to storms or other events that impact service to our customers.
Job Summary
Acts as a technical expert and project leader for the most challenging data science projects. Provides highly technical and analytical assessments of business priorities to senior leadership and drives the implementation of analytic solutions. Acts as a strong influencer and change agent in the organization to advance a data-based decision-making culture. Oversees and coaches the team of data scientists to run analytical experiments methodically, evaluate alternative models, and develop predictive models to forecast business performance metrics. Communicates effectively with technical and non-technical stakeholders with strong domain expertise and business acumen. Leads the research and development of new technologies and best practices within the industry to recommend approaches and strategies that develop the organization's analytical capabilities-Span of Control: 0, Individual Contributor.
Key Accountabilities
  • Leads data science projects from end-to-end, collaborating with cross-functional stakeholders, identifying business requirements, gathering data, researching analytics solutions, and integrating solutions into business processes
  • Conducts advanced statistical analysis to determine trends and significant data relationships, and proactively recommends areas of improvement
  • Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit, invest-divest, forecasting, predictive, what-if, impact analysis, etc.)
  • Prepares and delivers insightful presentations and action recommendations. Educates leaders and crews on complex analytical findings in laymen terms and with storytelling/data visualization
  • Identifies and evaluates technologies and provides strategic inputs to advance the organization's analytics capabilities
  • Mentors the team of data scientists by guiding their professional development in conjunction with the team manager
  • Actively researches new technologies in related subjects and supports the organization to develop data analytics strategies and roadmaps

Minimum Education & Experience Requirements
This is a multi-track base requirement job; education and experience requirements can be satisfied through one of the following options:
  • Bachelor's degree and 10 years of experience, inclusive of 3 years of leading experience working as a team or project lead in a data analytical or computer programming function; or
  • Master's degree and 8 years of experience, inclusive of 3 years of leading experience working as a team or project lead in a data analytical or computer programming function; or
  • Ph.D. degree and 6 years of experience, including 3 years of leading experience working as the team or project lead in a data analytical or computer programming function
  • 5 years of experience in qualitative and quantitative analytics (e.g., data mining, regression analysis, hypothesis testing, A/B testing, predictive modeling, model optimization, time series analysis, cluster analysis, natural language processing/text analytics, and segmentation)

Other Qualifications
Preferred:
  • Master's or Ph.D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Physics, Data Science, Econometrics, etc.)
  • Advanced business acumen and utility/energy industry experience
  • Deep interest and aptitude in data, metrics, analysis, trends, statistics, and program evaluation
  • Advanced project management skills
  • Experience with publications or conference presentations in a related subject

Other Requirements:
  • Intermediate-level competency using advanced Excel and statistical tools (e.g., Minitab, Alteryx, advanced Excel with VBA, R, Python, SAS, SPSS, Stata, MATLAB, etc.) to conduct in-depth analysis to support decision making
  • Proven expertise in articulating business questions and pulling data from relational databases (e.g., ORACLE, SQL SERVER)
  • Intermediate-to advanced-level programming skills in SQL, Python, R, and in visualization tools such as Power BI, Tableau
  • Intermediate- to advanced- level skills in data modeling, data structure, metadata, and the application of complex SQL queries with data from multiple sources, including a Big Data platform (e.g., Azure ADLS and Databricks)
  • Experience in designing, building, and supporting a production pipeline for data transformation and validation
  • Advanced skills of applied research design, machine learning, prediction, and optimization (e.g., multivariate statistical analysis, unsupervised and supervised learning, predictive modeling, Monte Carlo simulation)
  • Exceptional track record of successfully delivering large-scale analytical models and systems that result in substantial positive impact on business operations or customer satisfaction
  • Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications
  • Self-starter and learning capability in advancing skillset in business processes, data science, and communications
  • Advanced interpersonal, analytical, and problem-solving skills, including the ability to communicate technical information and complex data analytics to a non-technical audience
  • Experience with leading large projects end-to-end with customer facing and system integration
  • Experience with mentoring and coaching data scientists
  • Experience with agile process development
  • Experience using version control (e.g., Git)

Additional Information
Incumbents may engage in all or some combination of the activities and accountabilities and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all-inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision.
PRIVACY NOTICE TO CALIFORNIA JOB APPLICANTS
At DTE Energy, we are committed to providing an inclusive workplace where everyone feels welcome and a sense of belonging. We seek individuals with a heart for service, a passion to help our communities prosper, and ideas to help shape the future of energy. We are proud to be an equal opportunity, employer that considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by applicable federal and/or state laws.

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