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Remote Data Science Jobs in Michigan (NOW HIRING)

CFS

Data Analyst

Grand Rapids, MI · Remote

$90K - $110K/yr

Location: 100% Remote Position Summary: We are seeking a detail-oriented and technically skilled ... Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Analytics ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

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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.

Data Analyst

Grand Rapids, MI • Remote

CFS
See more jobs at CFSexternal

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

Job description

Position: Data Analyst
Job Type: Permanent
Salary: $90,000-$110,000
Benefits: Healthcare Insurance, paid parental/maternity leave, unlimited PTO, 401k w/match, and employee wellness programs.
Location: 100% Remote
Position Summary: We are seeking a detail-oriented and technically skilled Data Analyst to support business intelligence, reporting, and data-driven decision-making across the organization. This role will be responsible for designing and maintaining dashboards, analyzing business performance, managing data integrations, and delivering actionable insights to stakeholders. The ideal candidate possesses strong experience with Power BI, SQL, Salesforce, and Microsoft technologies, along with the ability to translate complex data into meaningful business recommendations. This position requires a highly analytical professional who can partner with cross-functional teams to improve reporting capabilities, drive operational efficiencies, and support strategic initiatives.
Key Responsibilities of the Data Analyst:
  • Develop, maintain, and enhance Power BI dashboards, reports, and visualizations that provide actionable insights across business functions.
  • Write, optimize, and maintain SQL queries, stored procedures, and data models to support reporting and analytics requirements.
  • Analyze large datasets to identify trends, patterns, risks, and opportunities that support business decision-making.
  • Partner with stakeholders to gather reporting requirements and translate business needs into scalable analytics solutions.
  • Manage and support Salesforce reporting, dashboards, data integrity initiatives, and business analytics.
  • Integrate and consolidate data from Salesforce, Microsoft applications, ERP systems, and other business platforms.
  • Ensure data accuracy, consistency, and quality across reporting environments and business systems.
  • Create and maintain documentation for reporting processes, dashboard logic, data definitions, and analytics standards.
  • Monitor reporting performance and recommend improvements to data architecture, processes, and visualization strategies.
  • Support data governance initiatives, reporting best practices, and compliance requirements.
  • Collaborate with IT, Finance, Sales, Operations, and executive leadership to deliver meaningful business insights.
  • Perform ad hoc analysis and develop executive-level reports that support strategic planning and operational objectives.
  • Assist in the design and implementation of data warehouse, ETL, and business intelligence solutions.
  • Identify opportunities to automate reporting processes and improve data accessibility.
  • Present findings, recommendations, and key performance indicators to both technical and non-technical audiences.
  • Stay current on emerging trends and best practices related to Power BI, Salesforce analytics, SQL development, and business intelligence.
Required Qualifications of the Data Analyst:
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Analytics, Statistics, or a related discipline, or an equivalent combination of education and experience.
  • Minimum three years of experience in data analytics, business intelligence, reporting, or a related field.
  • Advanced experience developing dashboards and reports using Microsoft Power BI.
  • Strong hands-on experience writing complex SQL queries and working with relational databases.
  • Required experience utilizing Salesforce reporting, dashboards, data management, and analytics capabilities.
  • Experience gathering business requirements and translating them into reporting and analytical solutions.
  • Demonstrated ability to analyze large datasets, identify trends, and communicate actionable recommendations.
Preferred Qualifications of the Data Analyst:
  • Experience working within Microsoft technology environments, including Power BI, Excel, Azure, Microsoft Fabric, Power Platform, and Microsoft 365.
  • Knowledge of data modeling, ETL development, data warehousing concepts, and business intelligence best practices.
  • Experience integrating and analyzing data from Salesforce, ERP platforms, CRM systems, and third-party applications.
  • Strong understanding of KPI development, performance metrics, forecasting, and business reporting.
  • Experience with DAX, Power Query, and advanced Power BI development techniques.
  • Excellent analytical, problem-solving, organizational, and critical-thinking skills.
  • Strong communication skills with the ability to present technical findings to non-technical stakeholders and executive leadership.
  • Ability to manage multiple priorities, work independently in a remote environment, and collaborate effectively across departments.
  • Experience supporting private equity

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