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Remote Data Science Jobs in Michigan (NOW HIRING)

micro1 AI

AI Data Science Evaluator

Detroit, MI · Remote

$245 - $280/hr

Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies.

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes. American Modern Insurance Group, Inc., a Munich Re

General Motors

Data Scientist

Warren, MI · On-site +1

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

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data

Ford Motor Company

Principal Data Scientist

Dearborn, MI · On-site +1

$165K - $182K/yr

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the

New

Munich Re

Actuarial Data Scientist (FCAS)

Gaylord, MI · On-site +1

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Michigan

Remote Data Science information

See Michigan salary details

$20.6K

$91.8K

$175.2K

How much do remote data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data science in Michigan is $91,804.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,421.00 and $127,335.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Michigan?

The most popular types of Data Science jobs in Michigan are:

What are popular job titles related to Remote Data Science jobs in Michigan?

For Remote Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Michigan look for?

The top searched job categories for Remote Data Science jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Science jobs?

Cities in Michigan with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $91,804 per year, or $44.1 per hour.

AI Data Science Evaluator

Detroit, MI • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$245 - $280/hr

Part-time

Posted 17 days ago

Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts

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