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Remote Data Scientist Jobs in Michigan (NOW HIRING)

AI Data Engineer

Troy, MI ยท Remote

$80K - $100K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Bachelor's or Master's degree in Computer Science or a related field. * Six or more years of data ...

Must have a PhD in Engineering, Computer Science, Data Science, Physical Sciences, Business ... Remote work on Fridays may be permitted based on project priorities and business requirements ...

Cheminformatics Specialist - Remote

Detroit, MI ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Cheminformatics Specialist - Remote

Lansing, MI ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Cheminformatics Specialist - Remote

Warren, MI ยท On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Principal Data Engineer

Ann Arbor, MI ยท 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 ...

Showing results 41-60

Remote Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do remote data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data scientist in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Michigan? The most popular types of Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Scientist jobs? Cities in Michigan with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


Job description

About Us

At Proactive Technology Management,ย we'reย transforming howย businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, weย leverageย cutting-edgeย technologies to deliver actionable insights that give our clients a competitive advantage.ย We'reย seeking aย Senior Full-Stack BI Architect / Fabric Data Engineerย to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you!ย 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric designย through the use ofย ubiquitous language and domain-driven principles.ย You willย leverageย deepย expertiseย in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technicalย expertiseย in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions.ย 

Key Responsibilitiesย 
  • Lead the design and implementation of ETL/ELT pipelines within aย medallion architectureย (Bronze, Silver, andย Goldย layers) to ensure data quality, scalability, and accessibility across use cases.ย ย 
  • Architect and develop advanced data models that reflectย domain-driven design principles, aligning with business domains and usingย ubiquitous languageย to ensure clarity and usability for all stakeholders.ย ย 
  • Design and implement star and snowflake schemas, along withย medallion schema practices, to provide flexible, high-performance data structures for analytics.ย ย 
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.ย ย 
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.ย ย 
  • Build andย optimizeย SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.ย ย 
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.ย ย 
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.ย ย 
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.ย ย 
  • Mentor team members to build organizational capacity in BI and data engineering best practices.ย ย 

Requirements

Qualifications
  • Bachelor's orย Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.ย ย 
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.ย ย 
  • In-depthย expertiseย inย medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.ย ย 
  • Proven ability to implementย domain-driven design (DDD)ย principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.ย ย 
  • Expert-levelย proficiencyย in Power BI, DAX, Power Query M, and SQL, withย demonstratedย success delivering scalable, impactful BI solutions.ย ย 
  • Strong programming skills with Spark Python for advanced data processing and analytics.ย ย 
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.ย ย 
  • A track recordย of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.ย ย 
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.ย ย 
  • Strong communicationย and leadership skills, with a focus on collaboration and stakeholder engagement.ย ย 

Benefits

  • Competitive compensation tailored to senior-levelย expertise.ย ย 
  • Opportunities to shape data strategy and lead transformative BI projects.ย ย 
  • Ongoing professional development through advanced training and certifications.ย ย 
  • A supportive, innovative culture that values diversity, inclusion, and creativity.ย ย 
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

Ifย you'reย ready to lead the next evolution of business intelligence-harnessing the power ofย medallion architecture,ย domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.ย