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.

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in designing experiments and statistical analysis of results
- Experience in solving business problems through machine learning, data mining and statistical algorithms

PREFERRED QUALIFICATIONS

- Experience in professional software development
- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members

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 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.