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Remote Healthcare Data Scientist Jobs in Michigan

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

CSAA

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

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Remote Healthcare Data Scientist information

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$40.1K

$143.8K

$212.2K

How much do remote healthcare data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote healthcare data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a remote healthcare data scientist?

A Remote Healthcare Data Scientist is a professional who analyzes complex healthcare data to derive insights and support decision-making, while working from a location outside of a traditional office or hospital setting. They use statistical models, machine learning, and data visualization tools to interpret patient records, clinical trials, and other health-related data. Their work helps improve patient outcomes, optimize healthcare operations, and contribute to medical research, all while collaborating with teams virtually. This role typically requires strong analytical skills, experience with healthcare data standards, and proficiency in programming languages such as Python or R.

How do remote healthcare data scientists typically collaborate with clinicians and other stakeholders to ensure data-driven solutions are effectively implemented?

Remote healthcare data scientists often work closely with clinicians, IT professionals, and administrative staff through virtual meetings, secure data-sharing platforms, and collaborative project management tools. Regular communication is key to understanding clinical needs and ensuring that analytical solutions are practical and actionable. Data scientists may participate in interdisciplinary team discussions to translate complex data insights into real-world improvements in patient care and operational efficiency. This collaborative approach helps bridge the gap between data analysis and clinical practice, ensuring that projects align with organizational goals.

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

To thrive as a Remote Healthcare Data Scientist, you need a strong background in statistics, data analysis, and healthcare informatics, typically supported by a relevant degree and experience in the field. Familiarity with programming languages like Python or R, data visualization tools, and experience with electronic health record (EHR) systems or HIPAA compliance are highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable insights for healthcare teams. These skills are crucial for improving patient outcomes, ensuring data security, and supporting evidence-based decision-making in a remote environment.

Can a remote healthcare data scientist work in healthcare?

A remote healthcare data scientist works within the healthcare industry by analyzing medical data, developing models, and supporting clinical or operational decisions. They often use tools like Python, R, and SQL and may need relevant certifications or knowledge of healthcare regulations such as HIPAA. Remote work allows flexibility while contributing to healthcare improvements.

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

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

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

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

What cities in Michigan are hiring for Remote Healthcare Data Scientist jobs?

Cities in Michigan with the most Remote Healthcare Data Scientist job openings:

Remote Healthcare Data Scientist jobs near you

Data Scientist

Dearborn, MI • Remote

Ford Motor Company
Motor Vehicle Manufacturing • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 526 frontline employees who took The Breakroom Quiz

12th of 45 rated automakers

People enjoy working here

Good employer

Recommended by students

Learn more about Ford Motor Companyexternal

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 18 days ago

Job description

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 integration, and applied analytics to enable data-driven decision-making across complex business workflows.

Key responsibilities include:

  • Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

  • Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.

  • Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.

  • Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.

  • Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

  • 3+ years of experience developing analytical or optimization models in Python.

  • Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).

  • Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

  • Experience integrating and standardizing heterogeneous enterprise datasets.

  • Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.

  • Ability to translate business problems into structured analytical frameworks.

  • Strong written and verbal communication skills with experience working cross-functionally.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
 
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-8

  • Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

  • Translate complex business problems into structured analytical and optimization frameworks.

  • Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.

  • Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.

  • Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

  • Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

  • Partner with cross-functional stakeholders to define requirements and validate outputs.

  • Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

  • Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.

  • Continuously improve model performance, data quality, and deployment efficiency across decision systems.

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