Data Scientist, Region Flexibility

Amazon • Sunnyvale, CA

39d

About The Position

The Region Flexibility Engineering (RFE) team builds and leverages foundational
infrastructure capabilities, tools, and datasets needed to support the rapid
global expansion of Amazon's SOA infrastructure. Our team focuses on robust and
scalable architecture patterns and engineering best practices, driving adoption
of ever-evolving and AWS technologies. RFE is looking for a passionate,
results-oriented, inventive Data Scientist to refine and execute experiments
towards our grand vision, influence and implement technical solutions for
regional placement automation, cross-region libraries, and tooling useful for
teams across Amazon.

As a Data Scientist in Region Flexibility, you will work to enable Amazon
businesses to leverage new AWS regions and improve the efficiency and scale of
our business. Our project spans across all of Amazon Stores, Digital and Others
(SDO) Businesses and we work closely with AWS teams to advise them on SDO
requirements. As innovators who embrace new technology, you will be empowered to
choose the right highly scalable and available technology to solve complex
problems and will directly influence product design. The end-state architecture
will enable services to break region coupling while retaining the ability to
keep critical business functions within a region. This architecture will improve
customer latency through local affinity to compute resources and reduce the
blast radius in case of region failures. We leverage off the sciences of data,
information processing, machine learning, and generative AI to improve user
experience, automation, service resilience, and operational efficiency.

Requirements

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

Nice To Haves

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Responsibilities

• As an RFE Data Scientist, you will work closely with product and technical leaders throughout Amazon and will be responsible for influencing technical decisions and building data-driven automation capabilities in areas of development/modeling that you identify as critical future region flexibility offerings.
• You will identify both enablers and blockers of adoption for region flex, and build models to raise the bar in terms of understanding questions related to data set and service relationships and predict the impact of region changes and provide offerings to mitigate that impact.

Benefits

• Our compensation reflects the cost of labor across several US geographic markets.
• The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed