Data Scientist, Selling Partner Trust and Store Integrity
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
If yes we invite you to join the Amazon Global Risk Intelligence Science Team. Were seeking an exceptional scientist who can revolutionize how we protect our stores. As a key member of our team youll develop and deploy machine learning systems that analyze millions of seller interactions daily ensuring the integrity and trustworthiness of Amazons marketplace while scaling our operations to new heights. Your work will directly impact the shopping experience for hundreds of millions of customers worldwide while supporting the growth of our selling partners.
Key job responsibilities
Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent seller behavior rings of accounts identity change holistic seller risk and marketplace manipulation schemes
Innovate with the latest GenAI technology to build highly automated solutions for efficient transaction monitoring and risk assessment
Design develop and deploy end-to-end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace
Learn explore and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners
Collaborate with cross-functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats
About the team
Youll be working closely with business partners science and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable efficient and automated processes for large-scale data analyses model development model validation and model implementation.
You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the teams success.
- Masters degree in Math Statistics Computer Science or related science field
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of data scientist experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- PhD in Math Statistics Computer Science or related science field
- Experience in a ML or data scientist role with a large technology company
- Experience in Python Perl or another scripting language
- Experience effectively communicating complex concepts through written and verbal communication
- Experience working on multi-team cross-disciplinary projects
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 136000.00 - 184000.00 USD annually
Required Experience:
IC
Key Skills
- Storage Administration
- Storage
- Store Keeping
- Store Operations
- Strategic Sourcing
- Customer Service
- Communications
- Stock Control
- Supply Chain
- Accounting
- Daily Operations
- Store Management
- Supplier performace
- Logistics
About Company
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