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Contract Amazon Data Science Jobs (NOW HIRING)

Amazon

Data Scientist III - AMZ9442729

Seattle, WA · On-site

$163.32K - $215.30K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Seattle, Washington Job Number: AMZ9442729 Position Responsibilities: Own the data science elements of various products to ...

Datum Software, Inc.

Data Scientist

Charlotte, NC

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker ... data science solutions and actionable insights Apply AIML algorithms for use cases such as ...

Amazon

Data Scientist III - AMZN9674163

Boston, MA · On-site

$161.80K - $215.30K/yr

AMAZON WEB SERVICES, INC. Offered Position: Data Scientist III Job Location: Boston, Massachusetts Job Number: AMZN9674163 Position Responsibilities: Own the data science elements of various products ...

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... analytics, Amazon Marketing Cloud, etc.) * Help develop strategic analytical roadmaps to ...

Amazon

Data Scientist III - AMZ9803634

San Diego, CA · On-site

$159.20K - $215.30K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: San Diego, California Job Number: AMZ9803634 Position Responsibilities: Own the data science elements of various products to ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113.50K - $136.30K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global ...

Omnicom Media US PHD

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... analytics, Amazon Marketing Cloud, etc.) * Help develop strategic analytical roadmaps to ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX

$113.50K - $136.30K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global ...

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Contract Amazon Data Science information

What are the key skills and qualifications needed to thrive as a Contract Amazon Data Scientist, and why are they important?

To thrive as a Contract Amazon Data Scientist, you need strong analytical skills, proficiency in statistics and machine learning, and a relevant degree in computer science, statistics, or a related field. Experience with Python or R, SQL, AWS services, and familiarity with data visualization tools like Tableau are typically required. Effective communication, problem-solving abilities, and adaptability are essential soft skills that set candidates apart. These skills ensure you can extract actionable insights from large datasets, communicate findings clearly, and drive data-informed decisions in Amazon's fast-paced environment.

What are some common challenges faced by contract data scientists working with Amazon teams?

Contract data scientists at Amazon often need to quickly adapt to new teams and proprietary tools, while delivering insights under tight deadlines. Navigating Amazon's large-scale data infrastructure and understanding internal processes can be challenging initially. However, collaboration with cross-functional stakeholders, such as product managers and engineers, is encouraged to ensure project alignment and success. Contract roles typically offer exposure to cutting-edge projects, providing valuable experience and networking opportunities within Amazon's dynamic environment.

What are Contract Amazon Data Science jobs?

Contract Amazon Data Science jobs are temporary or project-based roles where professionals use data analysis, machine learning, and statistical techniques to support Amazon's business goals. These positions typically involve working on specific data-driven projects, such as optimizing supply chains, improving recommendation systems, or analyzing customer behavior. Contractors may be hired for a set period or until project completion, and they often collaborate with Amazon's full-time data scientists and engineers. These roles require strong technical skills in programming, data analysis, and familiarity with tools like Python, SQL, and AWS services.
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Contract Amazon Data Science jobs near you
Infographic showing various Contract Amazon Data Science job openings in the United States as of May 2026, with employment types broken down into 14% Full Time, 82% Part Time, and 4% Temporary. Highlights an 97% Physical, and 3% Hybrid job distribution.
Senior Technical Program Manager, Amazon Global Data Center Ops Central Insight and Analytics Team

Senior Technical Program Manager, Amazon Global Data Center Ops Central Insight and Analytics Team

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,795 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

About the Role
We are looking for a Senior Technical Program Manager to establish and lead delivery management for GDCO's Data & Analytics organization. This is a foundational role - you will be the dedicated TPM on a team of data engineers, analytics engineers, BI engineers, applied scientists, and SDEs who provide data intelligence for Amazon's global data center operation organization.
This is not a program management role where you own a specific technical deliverable. This is a delivery leadership role where you own the system by which the team ships work reliably, communicates proactively, and earns trust from operational leaders across the globe.
What You'll Do
Delivery Management & Execution:
  • Establish and own the end-to-end delivery framework: intake process, prioritization methodology, capacity planning, sprint/delivery cadence, and release management for the full data & analytics team
  • Define and track SLA commitments for all major workstreams - ensuring the team delivers on time or communicates proactively when timelines shift
  • Manage the team's backlog - driving prioritization decisions with leadership and ensuring high-value work is not blocked by low-value requests

Stakeholder Management & Communication:
  • Serve as the primary delivery interface between the data team and its customers
  • Own the stakeholder communication cadence: proactive status updates, escalation paths, and expectation management when priorities shift or timelines change
  • Translate technical delivery status into business-relevant updates for non-technical leaders

Cross-Team Coordination:
  • Coordinate across several functional pods (Embedded Analytics, Self-Service Platform Engineering, Data Quality, Science) to manage dependencies, resolve blockers, and ensure cross-pod work ships cohesively
  • Partner with the Embedded Analytics Manager to define the operating rhythm between embedded analysts and program teams they serve

Key job responsibilities
  • Intake & Prioritization Framework - how work enters the team, how it's prioritized, and how decisions are made when demand exceeds capacity
  • Delivery SLAs & Quality Standards - the commitments we make to customers and the gates that ensure we meet them
  • Stakeholder Communication Cadence - the rhythm and channels through which customers get transparency into our work
  • Dependency & Risk Management - tracking cross-team dependencies (especially Boost migration) and surfacing risks before they become blockers
  • Delivery Metrics & Reporting - measuring and reporting on the team's delivery health to leadership
  • Backlog Health - ensuring the backlog is prioritized, sized, and aging is managed

About the team
GDCO (Global Data Center Operations) operates Amazon's worldwide fleet - the physical infrastructure that powers AWS, Prime, Alexa, and every Amazon service. Our Data & Analytics team as a thought partner with all stakeholders and customers - provides the intelligence layer: operational metrics, diagnostic analytics, predictive models, and AI-ready data infrastructure that drives critical business decisions.
BASIC QUALIFICATIONS
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • 5+ years of working directly with engineering teams experience
  • Experience establishing delivery processes for mid-to-large size technical teams (intake, prioritization, SLAs, quality gates)
  • Experience managing programs with multiple concurrent workstreams and cross-functional dependencies
  • Experience communicating technical delivery status to senior non-technical stakeholders (Director/VP level)
  • Experience with data engineering or analytics ecosystems (ETL pipelines, data warehouses, BI tools, dashboards)

PREFERRED QUALIFICATIONS
  • Master's degree in a technical field, or Master of Business Administration
  • Experience in data center operations, infrastructure, or field operations environments
  • Experience managing delivery for teams undergoing organizational transformation (new operating models, new team structures)
  • Experience with embedded analytics or data science teams - understanding how to measure impact beyond artifact delivery
  • Familiarity with Amazon data tools (QuickSight, Athena, Redshift, SageMaker, Glue) or equivalent
  • Experience with agile delivery at scale (SAFe, Scrum of Scrums, or similar)
  • Experience with capacity planning and resource optimization across multiple concurrent programs

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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