Senior Data Scientist, International Product Management
Company: Amazon Web Services, Inc.
Location: Renton
Posted on: October 3, 2024
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Job Description:
Amazon Web Services ("AWS") is looking for an outstanding Senior
Data Scientist to join the AWS International Product Management and
Expansion Strategy team. This is your opportunity to be a core part
of the AWS team that has a direct impact on global strategic
planning and decision-making. Today, AWS serves customers globally
from over 190 countries through multiple infrastructure Regions.
From these Regions, AWS offers over 200 fully featured cloud
services which redefine business agility, reduce the cost of IT
infrastructure, and elevate the role of IT as an enabler of
business organizations. As a Senior Data Scientist on this team,
you will get an exciting opportunity to structure and solve
challenging business problems that help develop long-term growth
strategies for AWS's international business. We are looking for a
seasoned professional with strong experience with operations
research and/or AI/machine learning especially those with
experience in seeking deep insights around customer adoption
patterns globally. In this role, you will study patterns and
structure models to quickly approach ambiguous problems with
mathematical models that drive the adoption of AWS long-term to
meaningfully impact AWS's growth. To support their proposals,
candidates should be able to mine large data sets independently,
analyze patterns with any necessary programming and statistical
techniques in a fast-paced environment. You will work closely with
the business and technical teams to analyze many non-standard and
unique business problems, and innovate with creative-problem
solving to deliver actionable output to stakeholders. A successful
candidate will be a self-starter, comfortable with ambiguity, with
a working knowledge of cloud technology, with strong attention to
detail, an ability to work in a fast-paced and ever-changing
environment, a penchant to explain findings backed by sound
statistical techniques, synthesize the business impact of findings,
and have an ability to collaborate as well as effectively influence
cross-functional teams. Come help us make history! Key job
responsibilities
The key strategic objectives of this role include, but are not
limited to:
--- Lead logical thinking to quickly turn high level ambiguous
business problems into mathematical models
--- Help identify causal elements behind business trends to drive
solution approaches that will let AWS expand faster
internationally
--- Provide thought leadership to identify new correlations between
emerging technology trends and global customer adoption to
establish intuitive, but authoritative models that forecast or
estimate impact to the business
--- Answer complex business questions around downstream impact and
customer adoption patterns with statistical techniques/business
rigor
--- Work with regional strategy managers to distill business trends
unique to geographies
--- Develop Excel/Python/AWS AI/ML tool-based models to provide
user friendly insights for business stakeholders and provide short-
or long-term business projections that reflect cloud computing
adoption About the team
About AWS Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the
preferred qualifications and skills listed in the job description,
we encourage candidates to apply. If your career is just starting,
hasn't followed a traditional path, or includes alternative
experiences, don't let it stop you from applying. Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and
broadly adopted cloud platform. We pioneered cloud computing and
never stopped innovating - that's why customers from the most
successful startups to Global 500 companies trust our robust suite
of products and services to power their businesses. Inclusive Team
Culture
Here at AWS, it's in our nature to learn and be curious. Our
employee-led affinity groups foster a culture of inclusion that
empower us to be proud of our differences. Ongoing events and
learning experiences, including our Conversations on Race and
Ethnicity (CORE) and AmazeCon (gender diversity) conferences,
inspire us to never stop embracing our uniqueness. Mentorship &
Career Growth
We're continuously raising our performance bar as we strive to
become Earth's Best Employer. That's why you'll find endless
knowledge-sharing, mentorship and other career-advancing resources
here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never
come at the expense of sacrifices at home, which is why we strive
for flexibility as part of our working culture. When we feel
supported in the workplace and at home, there's nothing we can't
achieve in the cloud.
BASIC QUALIFICATIONS - Master's degree in econometrics, statistics,
industrial engineering, operations research, optimization, data
mining, analytics, or equivalent quantitative field
- 5+ years of data scientist or similar role involving data
extraction, analysis, statistical modeling and communication
experience
- 2+ years of demonstrated experience with problem solving,
algorithm design and complexity analysis
- 5+ years of recent experience in scripting languages like Python,
Perl, Rust
PREFERRED QUALIFICATIONS - Advanced degrees (e.g., MS, PhD) in
engineering, statistics, computer science, operations research,
business analytics, information systems, business administration,
or equivalent
- Proficiency in problem scoping, model development, model
validation and model implementation into production
- Experience coding with other high-level languages like
Java/C++
- Experience with modeling tools such as R, scikit-learn, Spark
MLLib, MxNet, Tensorflow, numpy, scipy.
- Experience with tools such as AWS Bedrock/Sagemaker for Model
Architecture and Optimization, Application Integration, and
Orchestration.
- Experience as a Business/Financial Analyst or Systems Analyst in
a company with large, complex data sources
- Experience in developing data driven insights with multinomial
regression models, strategic frameworks, causal inference, and
performance tracking mechanisms
- Experience working across functional teams and senior
stakeholders
- Experience in using analytical tools, such as Tableau, Qlikview,
QuickSight
- Experience with AWS services including S3, Redshift, EMR and
Apache Spark 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 Our compensation reflects the cost of labor across several US
geographic markets. The base pay for this position ranges from
$143,300/year in our lowest geographic market up to $247,600/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 This position will remain posted until
filled. Applicants should apply via our internal or external career
site.
Keywords: Amazon Web Services, Inc., Kent , Senior Data Scientist, International Product Management, Executive , Renton, Washington
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