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Amazon Data Scientist Jobs in Michigan (NOW HIRING)

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

We're looking for a Data Scientist to help build and support this evolving data environment. You'll ... Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

We're looking for a Data Scientist to help build and support this evolving data environment. You'll ... Tools Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web ...

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

Amazon

Support Engineer IV - AMZ9802461

Detroit, MI · On-site

$90K - $158K/yr

AMAZON.COM SERVICES LLC Offered Position: Support Engineer IV Job Location: Detroit, Michigan Job ... Support development and release of Selling Partner APIs (SP-APIs) and data products, including ...

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All JobsAmazon Data Scientist JobsAmazon Data Scientist Jobs in Michigan

Amazon Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do amazon data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for amazon 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 does an Amazon data scientist do?

An Amazon Data Scientist analyzes large volumes of data to uncover trends, build predictive models, and help the company make data-driven decisions. They collaborate with business teams to identify problems, design experiments, and implement machine learning solutions that improve processes or enhance customer experiences. Their work often involves using programming languages like Python or R, and leveraging tools such as AWS, to handle data at scale. By providing actionable insights, Amazon Data Scientists play a key role in driving innovation and efficiency across the organization.

What are the key skills and qualifications needed to thrive as an Amazon data scientist?

To thrive as an Amazon Data Scientist, you need a solid background in statistics, machine learning, programming (typically Python or R), and a degree in a quantitative field such as computer science or mathematics. Experience with big data tools like AWS, SQL, and data visualization platforms, as well as familiarity with cloud-based analytics, is highly valued. Strong problem-solving, business acumen, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These capabilities are critical for developing impactful data-driven solutions that drive business decisions and innovation at scale.

How does an Amazon data scientist typically collaborate with cross-functional teams to deliver impactful solutions?

Amazon Data Scientists regularly work alongside software engineers, product managers, and business analysts to develop data-driven solutions for complex business problems. Collaboration often involves translating business objectives into analytical projects, sharing insights through clear visualizations, and iterating on models based on team feedback. This cross-functional teamwork ensures that data science solutions are both technically robust and aligned with business priorities, fostering innovation and measurable impact. Effective communication and adaptability are key to thriving in this collaborative environment.

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

AspectAmazon Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentCollaborates with engineering, product teams; focuses on predictive modeling and advanced analyticsPrepares reports, interprets data trends; often works with business teams
Employer & Industry UsagePrimarily in tech, e-commerce, logistics; Amazon-specific tools and platforms

Amazon Data Scientists focus on developing predictive models and machine learning solutions, requiring advanced technical skills and experience. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Data Scientists engage in more complex modeling, whereas Data Analysts focus on interpreting and presenting data insights.

How much do Amazon data scientists make?

Amazon data scientists typically earn an average salary ranging from $120,000 to $170,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and big data may have higher compensation, often including bonuses and stock options.

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

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

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

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

Amazon Data Scientist jobs near you
Infographic showing various Amazon Data Scientist job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Scientist

Sterling Heights, MI • On-site

ArtiFlex Manufacturing
Motor Vehicle Manufacturing • 501 - 1,000 employees
Learn more about ArtiFlex Manufacturingexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

ArtiFlex Manufacturing rating

8.3

Company rating: 8.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Data Scientist
Help Build the Data Behind What's Next
ArtiFlex is building a proprietary data environment that brings together information from Salesforce, ERP systems, and other internal databases. At the center of this effort is an AI-powered platform designed to make that information more accessible and useful across the business.
We're looking for a Data Scientist to help build and support this evolving data environment. You'll work with complex data, develop analytical and predictive solutions, and partner with business and technical teams to turn data into useful information and insights.
What You'll Do
Model Development
  • Design, build, and deploy machine learning algorithms, statistical models, and predictive workflows.
  • Support the development of forecasting and other data models as the organization's data foundation develops.

Data Observation & Management
  • Clean, preprocess, and integrate large structured and unstructured datasets from multiple sources.
  • Help ensure data is accurate, current, and usable across the organization's systems.

Cross-Functional Collaboration
  • Partner with product, production, services, engineering, and other business teams to understand data needs, challenges, and how data is used.
  • Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement opportunities.

Business Insights
  • Translate complex analytical results into clear, actionable recommendations for business and executive stakeholders.
  • Help make organizational data more accessible and useful through ArtiFlex's proprietary Data Link and AI-enabled tools.

Performance Monitoring
  • Track, maintain, and optimize live models to support ongoing accuracy and business value.
  • Monitor data quality and identify opportunities for improvement.
This Role May Be for You If...
  • You have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
  • You have 3+ years of experience in Data Science, Business Analytics, or a related field.
  • You have strong database management skills using SQL for querying, aggregating, and analyzing data.
  • You have experience with Python and a solid foundation in supervised and unsupervised machine learning techniques.
  • You have strong analytical and problem-solving skills.
  • You communicate effectively with both technical and non-technical teams.
  • You are proactive and interested in understanding both the data and the business needs behind it.
Technology & Tools
Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web Services), Microsoft Azure, Azure ML/AI, Azure Cognitive Services, SAS, R, SQL, DB2, GitHub, and Power BI.
You do not need to be an expert in every technology listed. We're looking for strong data science fundamentals and the ability to learn and work across a modern data and AI environment.
What Success Looks Like
In your first 6-12 months, success will mean making measurable progress in cleaning and improving our data, developing proactive processes with data owners, and building relationships with business leaders to understand their data needs and challenges.
As the data foundation develops, you'll have the opportunity to expand into data modeling, forecasting, predictive analytics, and AI-driven solutions.
A Few More Details
  • Reports to: IT Director
  • Typical Schedule: Monday-Friday, 7:30 a.m.-4:30 p.m.
  • Location: While having a home base, this individual will be expected to meet with leaders across all of ArtiFlex locations in Michigan and Ohio.
  • Citizenship: Due to the nature of the role, candidates must be a US Person.
Why ArtiFlex?
This isn't a role where you'll simply work with existing reports and datasets. You'll help build the data foundation behind how ArtiFlex uses AI and information to solve real business problems.
ArtiFlex employees are ArtiFlex owners with our Employee Stock Ownership Plan (ESOP).
We provide a full array of Health and Welfare plans including: Medical, Dental, Vision, Long & Short-Term Disability, Life, Flexible Spending or Health Savings Accounts, 401k with Company Matching, Paid Time Off, Holiday Pay, Annual Bonus, Tuition Reimbursement, Prescription Safety Glasses Reimbursement, Tool Purchase Program, Career Development, Training, Vehicle Purchase Supplier Discount, Company Events, Celebrations, and more!

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