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Amazon Data Scientist Jobs in Michigan (NOW HIRING)

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

Senior Forward Deployed Engineer- AWS

Detroit, MI · On-site

$103K - $142K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Lead Forward Deployed Engineer - AWS

Detroit, MI · On-site

$101K - $133K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Showing results 21-40

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 9, 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:
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 Analyst, Platforms (Data Engineering)

Publicis Groupe Holdings B.V

Birmingham, MI • On-site

$72K - $95K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Company Description
At Publicis Collective, we know tomorrow's challenges won't be solved by today's solutions. It's why we support our teams with the resources and tools they need to continue redefining the future of marketing. It's also why clients rely on us to lead the way in connecting media, data, technology, and teams by what matters most - business outcomes.
Publicis Collective's consultative practitioners are catalysts for business growth and innovation, we're more than media experts. We are an incubator for high-performing talent and a launchpad for ideas that push the boundaries of what's possible.
As part of the global Publicis Media network, we're backed by the power, scale, and benefits of Publicis Groupe, one of the largest and most celebrated marketing and communications platforms on the planet.
How are we different? There are three core values at the center of our approach that help us stay ahead - curious, open, and driven.
Curious - A deep curiosity compels us to go beyond the brief to deliver exceptional outcomes.
Open - We value diverse perspectives and new ways of working.
Driven - We are ambitious, rigorous, self-disciplined, and resilient in our pursuit of excellence.
If you're a collaborative and enterprising practitioner with a passion for media and a desire to make a real impact, we want to hear from you.
Let's shape the future together.
Overview
Our team is looking for a high-performing Senior Analyst who will be responsible for the design, development, implementation, and on-going support of a data driven software platform. The ideal candidate thrives in a fast-paced environment on multiple projects simultaneously, including both enhancements as well as new project development. The candidate must be a self-starter with a commitment to quality and professionalism and understands sense of urgency.
Responsibilities
  • Take provided requirements and identify any gaps to create a solution
  • Database development including stored procedures, user defined functions, triggers and ETL packages
  • Uphold quality standards and create monitoring tools to ensure high fidelity data
  • Troubleshoot database issues, identify root causes, and implement optimal solutions
  • Extract, transform, and load data from multiple data sources using languages and tools such as Python
  • Design, build, best, debug, monitor, and troubleshoot ETL and software processes in Python
  • Serve as an escalation point for any issues that may arise
  • Design testing requirements and prepare test plans and test modules
  • Ability to follow implementation standards, develop documentation and transfer of knowledge

Qualifications
Qualifications:
  • 2+ years' experience with ETL, databases, and Python
  • Familiarity with cloud technologies such as Amazon Web Services (Redshift, S3, Glue, Lambda) or Databricks
  • SQL programming skills (stored procedures, functions, etc.)
  • Experience with complex processing logic against large data sets
  • Excellent data modelling skills and experience working with multiple datasets
  • Possession of strong communication and presentation skills as well as an analytical mindset
  • Problem solving and testing skills
  • Familiarity with code versioning tools such as Git
  • Strong organizational skills & attention to detail
  • Possess a desire to work for a fast-paced, results-based company
  • Experience managing multiple projects simultaneously
  • Self-driven/entrepreneurial spirit with the ability to think outside of the box

Desired, but not required:
  • Experience with marketing data and digital media
  • Experience with Business Intelligence software (Tableau, PowerBI)
  • Experience and thorough understanding of a variety of APIs
  • Experience supporting analytics and data science teams/tools (Pandas, R, Alteryx)

Additional Information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines.
Compensation Range: $72,390 - $95,200 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/5/2025.
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Compensation Range: USD $ - . This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/16/2025.