In this role you will help lead a team of Research Scientists
and Data Scientists driving a large-scale modeling initiative that
spans five global organizations and over twenty teams. You will
model weather's impact on business metrics and focus on the
integration of how weather impacts Amazon's network.
A day in the life
Your day-to-day will include developing your team's technical,
analytical, modeling and project delivery skills, defining and
driving team project deliverables, and engaging with new and
existing internal customers. You will learn current processes,
build data backed solutions, educate diverse stakeholder groups,
and audit implementation. You will work closely with our tech team
to launch your solutions into production and build the metrics
needed to monitor and improve their performance. As a manager
within the larger Modeling and Optimization team you will actively
contribute to defining and delivering the group's strategic and
About the hiring group
The team that you will lead consists of Atmospheric Scientists
and Data Scientists, and works closely with a tech team of
Amazon's extensive logistics system is comprised of thousands of
fixed infrastructure nodes, with millions of possible connections
between them, and dozens of different transportation methods.
Billions of packages flow through this network on a yearly basis,
making the impact of optimal improvements unparalleled. This
magnificent challenge is an opportunity to drive lasting impact in
the design of one of the world's most complex logistic systems and
improve the experience of millions of customers every day. Come
build with us!
A successful candidate in this position will be able to;
communicate across diverse stakeholders, prioritize competing
requests, and quantify decisions made. The ideal candidate will
demonstrate deep understanding of statistical and machine learning
concepts, a strong background in atmospheric science, and a high
standard for coding best practices.
Amazon offers competitive packages including comprehensive
health care, 401(k), restricted stock units, growth potential and a
challenging and exciting work environment.
Amazon is an Equal Opportunity Employer - Minority / Women /
Disability / Veteran / Gender Identity / Sexual Orientation /
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.
2+ years industry experience managing science teams.
Master's degree in Atmospheric Science, Data Science, Statistics
or a related field.
5+ years industry experience in applying Machine Learning and/or
statistics to problems in the Atmospheric Science space.
Expert knowledge with a scripting language (e.g., Python).
Experience with processing, analyzing, and modeling with weather
Proficiency in the development, evaluation, implementation, and
production launch of machine-learning algorithms and statistical
Deep appreciation for diversity of thought and a proponent for
Ability to communicate technical concepts and solutions at a
level appropriate for technical and non-technical audiences.
In addition to those in basic qualifications, we are also
ideally looking for someone who has:
Ph.D. in Atmospheric Science, Data Science, Statistics or a
Experience with agile/scrum methodologies and its benefits of
keeping scientists on track and iteratively delivering results.
Experience with big data: extraction, processing, filtering, and
presenting large data quantities (100K to Millions of rows) via AWS
technologies, SQL, and data pipelines.
Familiarity with Logistics/Supply Chain, or related
Familiar with spatial (GIS) modeling techniques.