Applied Scientist - Amazon Privacy Amazon Privacy
Applied Scientist - Amazon Privacy Amazon Privacy
Posted on :
19-04-2025
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1 Vacancy
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Job Description
Were on a mission to simplify Privacy for Amazons builder community. Our systems are used by tens of thousands of Amazon builders and business teams to identify and address their privacy obligations.
This role will identify opportunities research problems and guide the creation of products that help automate that privacy work done by teams across the company. To do so you will work very closely with our engineering and product teams as well as other applied scientists and privacy specialists.
Key job responsibilities
Gain an understanding of current business challenges and identify opportunities to use sciencebased approaches.
Create experiments and prototypes to prove out hypotheses and identify investment opportunoties
Support engineers in the creation of new and changed products that apply your ideas
Measure and monitor model performance to ensure ongoing performance
Document and share your findings with other scientists and business leaders.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
This role will identify opportunities research problems and guide the creation of products that help automate that privacy work done by teams across the company. To do so you will work very closely with our engineering and product teams as well as other applied scientists and privacy specialists.
Key job responsibilities
Gain an understanding of current business challenges and identify opportunities to use sciencebased approaches.
Create experiments and prototypes to prove out hypotheses and identify investment opportunoties
Support engineers in the creation of new and changed products that apply your ideas
Measure and monitor model performance to ensure ongoing performance
Document and share your findings with other scientists and business leaders.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Employment Type
Full-Time
Key Skills
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