Data Scientist, IES CFX & Prime
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Are you passionate about applying machine learning and advanced statistical techniques to protect one of the worlds largest online marketplaces Do you want to be at the forefront of developing innovative solutions that improve Amazons customers experience Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions
If yes we invite you to join the Amazon Customer Fulfillment & Prime analytics team. Were seeking an exceptional scientist who can revolutionize how we delight our customers. As a key member of our team youll develop and deploy machine learning systems that analyze millions of customer interactions daily ensuring state of art experience for customers across 10 countries. Your work will directly impact the shopping experience for hundreds of millions of customers worldwide.
Key job responsibilities
Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent customer behavior rings of accounts identity change holistic customer risk and marketplace manipulation schemes
Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions
Design develop and deploy end-to-end machine learning solutions in the Amazon production environment to delight Amazon customers
Collaborate with cross-functional teams to develop comprehensive ML/statistical models that can scale to millions of customers and 10 countries
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.
- 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
- Masters degree in Math Statistics Computer Science or related science field or Masters degree
- 3 years of data scientist experience
- 2 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 using scripting languages such as Python Perl Linux bash
- Experience effectively communicating complex concepts through written and verbal communication
- Experience working on multi-team cross-disciplinary projects
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.
If yes we invite you to join the Amazon Customer Fulfillment & Prime analytics team. Were seeking an exceptional scientist who can revolutionize how we delight our customers. As a key member of our team youll develop and deploy machine learning systems that analyze millions of customer interactions daily ensuring state of art experience for customers across 10 countries. Your work will directly impact the shopping experience for hundreds of millions of customers worldwide.
Key job responsibilities
Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent customer behavior rings of accounts identity change holistic customer risk and marketplace manipulation schemes
Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions
Design develop and deploy end-to-end machine learning solutions in the Amazon production environment to delight Amazon customers
Collaborate with cross-functional teams to develop comprehensive ML/statistical models that can scale to millions of customers and 10 countries
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.
- 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
- Masters degree in Math Statistics Computer Science or related science field or Masters degree
- 3 years of data scientist experience
- 2 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 using scripting languages such as Python Perl Linux bash
- Experience effectively communicating complex concepts through written and verbal communication
- Experience working on multi-team cross-disciplinary projects
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.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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