Interesting ML and causal inference problems, high visibility, cross-team collaborations with other scientists and engineers
Key job responsibilities
Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.
Applied Scientists at Amazon will be expected to work directly with senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon Applied Scientists will apply the frontier of Machine Learning to forecasting, detection, online advertising and other areas. You will build machine learning science models, using our world class data systems, and apply machine learning techniques to solve business problems in a fast moving environment. Applied Scientists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company.
At Customer Trust and Partner Support, we aim to make Amazon the safest place for our Customers, Selling Partners, and Brands, and the best place to build thriving business for our Selling Partners and Brands.
As an applied scientist on our team, your role is to leverage your strong background in Computer Science and Machine Learning to help build the next generation of our model development and assessment pipeline, harness and explain rich data at Amazon scale, and provide automated insights to improve machine learned solution that impact millions of customers and sellers every day. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.
A day in the life
communicating results to biz stakeholder
About the team
POE Econ is a center of excellence for providing analytical solutions that marry ML and causal inference techniques at scale to measure long-term impacts to the teams and enable impact-based decision making.
· PhD in Computer Science, Statistics, or related field
· We will consider candidates with master degrees and industrial experience.
· Applicants with considerably more experience, including mid-career, are also strongly encouraged.
· Strong background in statistics methodology, applications to business problems, and/or big data.
· Ability to work in a fast-paced business environment.
· Strong research track record.
· Effective verbal and written communications skills.
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.