Senior Data Scientist

The Group:
AWS Analytics provides rapidly growing, industry-acclaimed cloud services in areas of big data platforms, data warehouses, analytics, and operational databases. The group is at the forefront of innovation in these areas producing world-class cloud services. They represent a large fraction of the AWS business, and continue to accelerate.

The Team:
AWS Elasticsearch is a fully managed, next-generation search service that makes it easy to deploy, operate, and scale Elasticsearch for log analytics, application monitoring, full-text search, and more. It is one of the fastest growing services in the AWS portfolio. We are looking for an experienced data scientist to imaginatively extend the services offered to our customers.

The Role:
§ Build tools that early warn when a server is going to crash and recommend remediations to avert the failure.
§ Create new methods to explain how a machine learning algorithm came to its conclusion.
§ Develop tools to support natural language search
§ Invent privacy-preserving solutions

This position within AWS Analytics represents an unusual opportunity to shape the technology and future of a rapidly evolving industry and business. As with all Amazon positions, you will be deeply customer obsessed.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Basic Qualifications

· PhD in Computer Science, Statistics, Math, Electrical Engineering or Physics
· 5+ years of industry/academic experience in data science
· Coding proficiency in at least one modern programming language (Python, Java, C++, etc.)

Preferred Qualifications

· PhD in Computer Science, Statistics, Math, Electrical Engineering or Physics
· Data Acumen
· 10+ years of industry/academic experience in data science
· Coding proficiency in at least one modern programming language (Python, Java, C++, etc.)
· Ability to listen to vague customer problems, and abstract into concrete technical questions
· Experience building cloud services
· Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences
Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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