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Amazon Data Scientist Jobs in Michigan (NOW HIRING)

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI · On-site

... Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment. • Collaborate closely with data engineers, data scientists, and product teams ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

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 ...

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 ...

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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 Aug 7, 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.

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.

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.

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 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 August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Senior Machine Learning Engineer

Ascentt

Ann Arbor, MI • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. The role involves designing, developing, and deploying scalable machine learning models for real-world business problems using structured and unstructured data.
Responsibilities:
• Design, develop, and deploy scalable machine learning models for real-world business problems using structured and unstructured data.
• Analyze large datasets using PySpark and other distributed computing frameworks to extract insights and prepare features for ML pipelines.
• Apply a wide range of statistical, machine learning, and deep learning techniques, including but not limited to regression, classification, clustering, time-series forecasting, and NLP.
• Own end-to-end ML pipelines from data ingestion, preprocessing, training, validation, tuning, and deployment.
• Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a production-grade environment.
• Collaborate closely with data engineers, data scientists, and product teams to integrate models with business workflows.
• Monitor and improve model performance, scalability, and reliability in production.
• Contribute to setting up and maintaining the ML environment and tooling (including environment configuration, CI/CD pipelines for ML, model versioning, etc.).
Qualifications:
Required:
• 7+ years of experience in machine learning, data science, or related fields.
• Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
• Hands-on experience with PySpark for big data processing and model development.
• Proficient in building models on large-scale datasets (terabytes to petabytes).
• Solid understanding of statistical analysis, probability, hypothesis testing, and experimental design.
• Experience with Amazon SageMaker (or similar cloud-based ML platforms).
• Strong knowledge of ML Ops practices including version control, model monitoring, and retraining strategies.
• Familiarity with containerization (Docker) and CI/CD practices for ML projects is a plus.
• Excellent communication skills and the ability to clearly explain complex concepts to non-technical stakeholders.
Preferred:
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• Experience with workflow orchestration tools (e.g., Airflow, Kubeflow).
• Prior experience in domains like Manufacturing, finance, healthcare, or e-commerce is a plus.
Company:
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers. Founded in 2007, the company is headquartered in Plano, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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