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Data Science In Healthcare Jobs in Michigan (NOW HIRING)

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as Databricks, Snowflake ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

... in data mining and the application of data science * Provides thought leadership and/or broad ... as health and well-being benefits, savings and retirement programs, paid time off (including ...

Td

Principal Data Scientist (US)

Southfield, MI

$148K - $223K/yr

... in data mining and the application of data science * Provides thought leadership and/or broad ... as health and well-being benefits, savings and retirement programs, paid time off (including ...

Stellantis

Data Scientist

Auburn Hills, MI

Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in ... Health & Well-being Coverage From your very first day, you'll have access to medical, dental ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

... in Computer Science, Economics, Analytics, Business, Strategy, Finance, or related field * 3+ years ... child care and more • Family building benefits including adoption and surrogacy expense ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

At DTE, we take great care of each other and our customers, and we use our energy to be a force for ... Self-starter and learning capability in advancing skillset in business processes, data science, and ...

DTE Energy

Expert Data Scientist

Detroit, MI

At DTE, we take great care of each other and our customers, and we use our energy to be a force for ... Self-starter and learning capability in advancing skillset in business processes, data science, and ...

Socket.dev

Data Scientist

Plymouth, MI · On-site

$90 - $130/hr

Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, Quantitative Methods, Statistics, Engineering, or a related discipline; an equivalent combination of education and ...

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All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in Michigan

Data Science In Healthcare information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do data science in healthcare jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science in healthcare 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.

Can a data scientist work in healthcare?

Yes, data scientists can work in healthcare by analyzing medical data, developing predictive models, and improving patient outcomes. They often use tools like Python, R, and SQL, and may require knowledge of healthcare regulations such as HIPAA.

What is data science in healthcare?

Data science in healthcare involves analyzing large sets of medical and patient data to improve patient outcomes, optimize operations, and support clinical decision-making. Data scientists in this field use tools like machine learning, statistical analysis, and data visualization to extract insights from electronic health records, medical imaging, and other health-related data sources.

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

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

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

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

Data Science In Healthcare jobs near you
Infographic showing various Data Science In Healthcare job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 26 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases
  • Design and implement econometric and causal inference models to quantify the impact of vehicle incentives, pricing, and commercial levers on sales, margin, and demand
  • Estimate and interpret price and incentive elasticities across brands, segments, and regions, informing pricing and go-to-market strategies
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making
  • Communicate complex results clearly to both technical and non-technical audiences
  • Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance
  • Conduct peer code reviews and support best practices in model development and deployment
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
  • Minimum of 5 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
  • Experience with experimental design, and statistical inference
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
  • Automotive experience
  • Tree-based models (Random Forest, XGBoost, LightGBM)
  • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Experience using PySpark for distributed data processing and feature engineering
  • Experience with Power BI or similar tools for data visualization and dashboarding
  • 2+ years of experience working with finance / pricing / incentives data
  • 2+ years of experience working with sales / commercial data
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures

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