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Remote Data Science Jobs in Michigan (NOW HIRING)

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... scientists to build and maintain analytic solutions utilizing both traditional on-premises and ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... scientists to build and maintain analytic solutions utilizing both traditional on-premises and ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... scientists to build and maintain analytic solutions utilizing both traditional on-premises and ...

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity * Run a lightweight but effective ...

Belle, LLC

Nurse Practitioner: Remote Urgent Care

Detroit, MI · Remote

$109K - $151K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

New

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Ford Motor Company

Analytics Scientist

Dearborn, MI · On-site +1

$140K - $182K/yr

Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. You'll have... Bachelor's degree or foreign equivalent in Computer Science, Computer ...

Centroid Systems, Inc.

OCI Architect

Troy, MI · On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI Data Science: model deployment, JupyterLab environments, ML pipelines, Aqua (AI Quick Actions)

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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 Jul 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 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,804 per year, or $44.1 per hour.
Director, AI, Data and Developer Enablement

Director, AI, Data and Developer Enablement

Meijer Companies Ltd

Grand Rapids, MI • On-site, Remote

Full-time

Posted 4 days ago

New

Meijer rating

6.2

Company rating: 6.2 out of 10

Based on 1,607 frontline employees who took The Breakroom Quiz

20th of 39 rated national retailers

Job description

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community!

Meijer Rewards

  • Weekly pay

  • Scheduling flexibility

  • Paid parental leave

  • Paid education assistance

  • Team member discount

  • Development programs for advancement and career growth

Please review the job profile below and apply today!

Position will follow our hybrid schedule: Monday-Wednesday in Grand Rapids MI Corporate office, Thursday-Friday remote.


What You'll be Doing:

Data Engineering, Analytics & AI/Automation

  • Lead the design, development, and implementation of data engineering, analytics, and AI/automation solutions to support business objectives.

  • Oversee data architecture, ensuring data integrity, security, and scalability.

  • Manage and mentor a team of data engineers, data scientists, and analysts, fostering a culture of collaboration and continuous improvement.

  • Collaborate with cross-functional teams to identify data needs and develop strategies to leverage data for business insights and decision-making.

  • Drive adoption of best practices in data management, analytics, and AI/automation.

  • Ensure compliance with data governance policies and regulations.

  • Stay current with industry trends and emerging technologies in data engineering, analytics, and AI/automation.

  • Develop and manage budgets, resources, and timelines for data projects.

  • Ensure all teams follow engineering and IT standards for change controls and IT practices for production systems.

Enterprise Quality Adoption

  • Own the enterprise quality strategy - embed quality into the software development lifecycle, not onto it.

  • Drive adoption of test automation, shift-left testing, and continuous quality practices across all engineering teams.

  • Define and enforce quality standards, frameworks, and tooling across the portfolio; ensure consistent adoption at scale.

  • Partner with engineering and product teams to establish quality gates that protect production stability without slowing delivery.

  • Report on quality health across domains, with clear visibility into defect rates, test coverage, and release readiness.

Engineering Delivery Performance - DORA Metrics

  • Establish DORA metrics (Deployment Frequency, Lead Time for Changes, Change Failure Rate, Mean Time to Recovery) as the standard measurement framework for engineering delivery health.

  • Own the baseline, targets, and reporting cadence for DORA metrics across teams; surface trends to senior leadership with clear business context.

  • Use DORA data to identify delivery bottlenecks, prioritize platform and process investments, and demonstrate improvement over time.

  • Connect engineering performance to business outcomes - faster delivery and lower failure rates translate directly to customer experience and cost efficiency at Meijer's scale.

  • Partner with DevOps and platform teams to build the tooling and observability infrastructure required to measure and improve DORA outcomes.

IT General Controls (ITGC)

  • Accountable for ITGC compliance across the technology domains in scope - change management, access controls, computer operations, and program development controls.

  • Partner with Internal Audit, Compliance, and Finance to ensure controls are designed, operating effectively, and audit-ready.

  • Own remediation of ITGC deficiencies; drive root cause analysis and sustainable control improvements rather than point-in-time fixes.

  • Ensure all teams understand and operate within ITGC requirements as a standard part of the delivery process - not a compliance afterthought.

  • Maintain documentation, evidence, and control narratives sufficient to support SOX and internal audit cycles.

What You Bring with You (Qualifications):

Education

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred.

Experience

  • 10+ years of experience in data engineering, analytics, and AI/automation, with at least 5 years in a leadership role.

  • Proven experience establishing and scaling enterprise quality practices across large engineering organizations.

  • Hands-on experience implementing DORA metrics programs and using delivery performance data to drive engineering improvement.

  • Demonstrated experience with ITGC compliance, SOX controls, or equivalent control frameworks in an enterprise environment.

  • Track record of managing multiple complex programs simultaneously in a fast-paced, high-scale environment.

Technical Skills

  • Strong knowledge of data architecture, data warehousing, ETL processes, and data modeling.

  • Proficiency in Python, Java, or Scala; experience with big data technologies including Spark, Kafka, and Databricks.

  • Expertise in machine learning and AI frameworks (TensorFlow, PyTorch, scikit-learn or equivalent).

  • Familiarity with CI/CD tooling, test automation frameworks, and observability platforms used to track delivery and quality metrics.

  • Working knowledge of ITGC control domains: logical access, change management, computer operations, and program development.

Leadership & Communication

  • Strong communication and interpersonal skills; able to collaborate with and influence stakeholders at all levels.

  • Speaks the language of business outcomes - connects technology performance to cost, revenue, and customer experience.

  • Proven ability to manage multiple priorities and drive accountability across matrixed teams.

What Meijer employees say

Pay

Benefits

Hours and flexibility

Workplace

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