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DESCRIPTION

Amazon Devices is looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning and data science initiatives to help customers discover Devices products and enabled stakeholders make informed product decisions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where you get to define the path forward for success for initiatives? You will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with cross-functional teams. You will take the lead on developing advanced ML systems that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon's growing Devices business.

Key job responsibilities
Key job responsibilities
* Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment.
* Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems.
* Promote the culture of experimentation and applied science at Amazon.
* Excellent communication and presentation skills working with multiple peer groups and different levels of management
* Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles.

A day in the life
You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and deploy in production.

About the team
We are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer’s expectation. Our focus area is to build analytical frameworks that help the organization easily access data, better understand the decisions customers are making and why, and assess customer satisfaction.