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Contract Amazon Data Science Jobs (NOW HIRING)

The Marketing Data Science team within Salesforce's Chief Data Office is seeking an experienced ... Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success ...

The Marketing Data Science team within Salesforce's Chief Data Office is seeking an experienced ... Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success ...

The Marketing Data Science team within Salesforce's Chief Data Office is seeking an experienced ... Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success ...

Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc. - Experience with big data ... Compensation ranges may differ based on contract value but will be commensurate with job duties and ...

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 ...

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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.
More about Contract Amazon Data Science jobs
What cities are hiring for Contract Amazon Data Science jobs? Cities with the most Contract Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Contract Amazon Data Science jobs? States with the most job openings for Contract Amazon Data Science jobs include:
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 Data Scientist, Amazon Global Logistics

Senior Data Scientist, Amazon Global Logistics

Amazon

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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

Join Amazon Global Logistics (AGL) as a Senior Data Scientist on our Pricing & Science team. You'll develop machine learning models, AI agents, and optimization systems that serve businesses of all sizes in cross-border logistics. This role combines advanced machine learning with hands-on execution to establish AGL as a leading global freight provider.
You'll work on high-impact initiatives including agentic AI systems that drive marketing effectiveness and enable data-driven sales decisions, ML-powered fraud and theft detection models to protect Amazon's supply chain, revenue management systems incorporating real-time market signals and capacity constraints, and economic value models to quantify the business impact of logistics capabilities.
Key job responsibilities
- Collaborate with product, engineering, operations, and security teams to translate business problems into production-ready solutions
- Own end-to-end model development from exploratory analysis to deployment and monitoring
- Define, track, and explain success metrics to measure model impact and inform decision-making
- Build business cases to support science initiatives and model prioritization
- Develop ML-powered systems for marketing effectiveness, fraud detection, revenue management, and economic value modeling
- Write technical papers and submit work to internal and external conferences and publications
A day in the life
Your day might start with improving theft detection model accuracy. You'll collaborate with scientists to enhance features for pricing models. You'll connect with stakeholders in international markets to evaluate new agentic marketing solutions.
You'll sync with applied scientists and engineering teams on productionizing models. You'll meet with operations to understand capacity forecasts and routing constraints. You'll work with security teams on theft detection workflows. You'll design new modeling approaches, run experiments, and present recommendations to stakeholders.
The role offers strategic thinking, hands-on model development, and tactical analysis in a fast-paced environment where you'll own significant technical initiatives.
About the team
The AGL Pricing & Science team operates at the intersection of science, logistics, and business strategy. We're a diverse group of problem-solvers working to transform international freight forwarding.
Our team builds intelligent pricing systems, predicts and prevents seller churn, develops GenAI applications for operational intelligence, creates ML-powered fraud detection systems, builds routing optimization models, and prioritizes seller experience. We value data-driven decision making and innovation.
Our work protects millions in GMS and drives hundreds of millions in cost savings annually. We offer opportunities to make significant impact while working with AI technologies and systems at Amazon scale.
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree in computer science, engineering, mathematics or equivalent
- 5+ years of data scientist experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience working with cross-functional teams across business development, marketing, operations, product development, legal, etc.
- Comfort navigating between strategic work and exploratory analysis
PREFERRED QUALIFICATIONS
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience as a leader and mentor on a data science team
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience documenting modeling for technical and business leaders
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, MA, Boston - 159,200.00 - 215,300.00 USD annually
USA, WA, Bellevue - 159,200.00 - 215,300.00 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