2

Remote Amazon Data Science Jobs in Rochester, MI

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

AI Data Engineer Senior Consultant

Detroit, MI · On-site +1

$104.90K - $142.60K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field ... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ...

Work with delivery teams, data science teams, and client stakeholders to troubleshoot issues ... Experience building Databricks environments in Microsoft Azure, Amazon Web Services, or Google ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

OneStream Demo Engineer

Birmingham, MI · Remote

$115K - $132.50K/yr

Remote, United States Employment Type : Full-Time Compensation : $115,000.00 - $132,500.00 (Range ... Bachelor's degree in computer science, data science, or relevant combination of education and ...

OneStream Demo Engineer

Rochester, MI · Remote

$115K - $132.50K/yr

Remote, United States Employment Type : Full-Time Compensation : $115,000.00 - $132,500.00 (Range ... Bachelor's degree in computer science, data science, or relevant combination of education and ...

AI Consultant

Birmingham, MI · Remote

$104K - $130K/yr

Remote, USA Employment Type: Full-Time Compensation: $104,000.00 - $130,000.00 (Range applies to US ... Bachelor's degree in computer science, data science, or relevant combination of education and ...

AI Consultant

Rochester, MI · Remote

$104K - $130K/yr

Remote, USA Employment Type: Full-Time Compensation: $104,000.00 - $130,000.00 (Range applies to US ... Bachelor's degree in computer science, data science, or relevant combination of education and ...

next page

Showing results 1-20

Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What job categories do people searching Remote Amazon Data Science jobs in Rochester, MI look for? The top searched job categories for Remote Amazon Data Science jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Remote Amazon Data Science jobs? Cities near Rochester, MI with the most Remote Amazon Data Science job openings:
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 10 days ago


Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

PRIVACY POLICY