Apply Now: Data Scientist II, SAnDS...

AWS Sales, Marketing, and Global Services (SMGS) is
responsible for driving revenue, adoption, and growth from the
largest and fastest growing small- and mid-market accounts to
enterprise-level customers including public sector. The AWS Global
Support team interacts with leading companies and believes that
world-class support is critical to customer success. AWS Support
also partners with a global list of customers that are building
mission-critical applications on top of AWS services. Do you have
proven analytical capabilities to identify business opportunities,
develop predictive models, and optimization algorithms to help us
build a state-of-the-art Support organization? At Amazon, we are
working to be the most customer-centric company on earth. To get
there, we need exceptionally talented, bright, and driven people.
We set big goals and are looking for people who can help us reach
and exceed them. Amazon Web Services (AWS) is one of the world’s
most comprehensive and broadly adopted cloud platforms, offering
over 200 fully featured services from data centers globally. AWS
provides services for a broad range of applications including
compute, storage, databases, networking, analytics, machine
learning, AI, IoT, security, and application development,
deployment, and management. The Global AWS Support BizOps team is
looking for a passionate Data Scientist to model contact
forecasting, discover insights, and identify opportunities through
statistics, machine learning, and deep learning to drive business
and operational improvements. A successful candidate must be
passionate about building solutions that will help drive a more
efficient operations network and optimize costs. In this role, you
will partner with data engineering, tooling, operations, training,
customer service, capacity planning, and finance teams to drive
optimization and prediction solutions across the network. Key job
responsibilities 1. Build and manage modeling projects, identify
data requirements, and develop methodology and tools grounded in
statistics. 2. Be an expert in data science, optimization, machine
learning, and statistics, and facilitate ideation from concept to
execution. 3. Work in a customer-obsessed, innovative, and
results-oriented manner in a fast-paced, growing organization. 4.
Embrace ambiguity and collaborate with a highly distributed team of
experts. 5. Possibly own globally impactful work and grow your
career in technical, programmatic, or leadership roles. 6.
Proficiency in Python or R, or similar modeling languages. 7. Apply
problem-solving skills, knowledge of data models, and drive results
through ambiguity. About the team We value diverse experiences and
encourage candidates to apply even if they do not meet all
preferred qualifications. Whether your career is just starting or
includes alternative experiences, your unique background is
welcome. Why AWS AWS is the world’s most comprehensive cloud
platform, continuously innovating and trusted by startups to Global
500 companies. Work/Life Balance We value work-life harmony and
offer flexibility to support your success at work and at home.
Inclusive Team Culture Our culture of inclusion is fostered through
employee-led affinity groups, events, and learning experiences that
celebrate diversity. Mentorship and Career Growth We provide
resources for professional development to help you advance your
career and become a well-rounded professional. - 5+ years of data
scientist experience - 3+ years of experience with data querying
languages (e.g., SQL), scripting languages (e.g., Python), or
statistical software (e.g., R, SAS, Matlab) - 3+ years of
experience with machine learning/statistical modeling, data
analysis tools, and techniques - Experience applying theoretical
models in an applied environment - Experience in Python, Perl, or
other scripting languages - Experience in a ML or data scientist
role within a large technology company For workplace
accommodations, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations.
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