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Physics Data Analyst Jobs in Michigan (NOW HIRING)

Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning ... D. in operations research, engineering, computer science, applied statistics, economics, physics ...

$14.25 - $19/hr

Stellantis AIDA (AI, Data & Analytics) is a rapidly growing global team dedicated to building ... Physics, Econometrics, Cybersecurity, Information Technology, or related field * Able to work ...

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... Physics, Robotics, or a related quantitative field, or equivalent practical experience. • Strong ...

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... Physics, Robotics, or a related quantitative field, or equivalent practical experience. • Strong ...

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Would you love to accelerate our efforts in implementing advanced physics and ML Models in ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Showing results 41-60

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 Sep 8, 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 cities in Michigan are hiring for Physics Data Analyst jobs?

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

Infographic showing various Physics Data Analyst job openings in Michigan as of September 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.

Data Scientist

General Motors

Warren, MI • On-site, Remote

Full-time

Posted 12 days ago


Key responsibilities

  • Lead the execution of AI, machine learning, or data science workstreams from methodology through delivery.

  • Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions.

  • Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 309 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,336 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

As an L6 Data Scientist supporting Sales, Brand & Dealer, you will lead the execution of one or more workstreams within an AI, machine learning, or data science product. You will build deep technical expertise under the guidance of the product's lead scientist while actively contributing to product decisions, methodological direction, and the development of high-impact solutions.

What You Will Do

  • Lead the execution of assigned AI, machine learning, or data science workstreams from methodology through delivery.
  • Contribute to product decisions and help shape the ideation, design, and development of analytical methods and solutions.
  • Develop high-quality code that is methodologically sound, maintainable, scalable, and operationally robust.
  • Explore and apply new methods, technologies, and approaches to expand the product's technical capabilities.
  • Deliver results on time while managing risks and maintaining methodological and operational quality.
  • Partner cross-functionally with data engineering, software delivery, product delivery teams, business units, and other stakeholders to drive product development and business outcomes.
  • Translate complex technical concepts, tradeoffs, assumptions, and risks into clear insights and recommendations for stakeholders and leaders.
  • Present workstream progress, findings, and business impact to technical and business audiences.

Your Skills and Abilities (Required Qualifications)

  • 3+ years working in the field of advanced analytics, AI/ML and/or operations research initiatives, developing and integrating analytical methods into software products;
  • Demonstrated use of innovative methodologies and approaches to solving business problems, resulting in meaningful business impact;
  • Experience across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods, etc.);
  • Expertise in Python and other cloud-based data science platforms (Databricks preferred), and proficiency in SQL;
  • Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, etc.
  • Strong presentation and communication skills; and
  • M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or related field. Equivalent additional experience may substitute for advanced degree.

What Can Give You a Competitive Advantage (Preferred Qualifications)

  • Experience contributing to AI, machine learning, or data science products from concept through production delivery.
  • Experience influencing product decisions and shaping methodological direction.
  • Breadth across modern data science methods, tools, and technologies, with a demonstrated interest in continuous technical growth.
  • Experience building solutions that are reliable, maintainable, scalable, and operationally ready.
  • Experience working across multidisciplinary teams, including data engineering, software engineering, product delivery, and business stakeholders.
  • Demonstrated ability to connect technical work to measurable business impact. Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition preferred.
  • Experience presenting complex analytical results and technical tradeoffs to senior leaders and diverse audiences.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908