Senior Applied Scientist , EC2- Onhand Capacity Optimization
Company: Amazon
Location: Seattle
Posted on: April 6, 2026
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Job Description:
AWS Elastic Compute Cloud (EC2) Capacity Research and
Engineering Org is looking for an experienced applied optimization
expert. This leader will join the Onhand Packing Science team to
design, implement, and scale decision-making algorithms to optimize
EC2’s use of existing capacity. The team owns the optimization of
all aspects of virtual instances placement across EC2, from high
level supply shaping right down the final physical machine a
customer’s instance gets allocated to. Given the sheer scale of EC2
any improvement efficiency within capacity is utilized has
significant business impact. Key job responsibilities We are
seeking an expert with a strong background in mathematical
optimization with excellent modeling skills, with experience using
both exact and heuristic methods. The domain requires a tight
collaboration with engineering teams, to ensure we are able to
quickly move from modelling and prototyping to full scale
production usage. You should be confirmable with the needed
statistical approaches for production A/B tests as well as have a
solid understanding experimental design more broadly. Being
successful in the role requires having the scientific breadth to
understand the interactions between different phases of a project
from data analysis through to production, including resolving
issues after rollout. You will be hands-on with the mathematical
modeling and implementation, and will also contribute to the design
of the engineering system with the scalability, extensibility,
maintainability, and correctness of the optimization engine in
mind. You will review approaches by other scientists and engineers
in terms of business relevance, technical validity, engineering /
science interface, and computational performance. You will mentor
and lead junior scientists by example. Communicating your results
to guide the direction of the business and working with software
development teams to implement your ideas in code is key to
success. You will write technical, and less frequently, business
documents that influence engineering investments and business
direction. Collaborating with other scientists, software engineers,
and product managers, you will develop creative, novel, and
data-driven approaches to improve our existing cloud compute
offerings and define new ones in a fast-paced and quickly changing
environment, improving the experience of our customers and
impacting the bottom line of EC2. - PhD in operations research,
applied mathematics, theoretical computer science, or equivalent -
6 years of relevant academic research or industry experience in
developing algorithms. - Publications in refereed academic journals
or conference. - In-depth knowledge of exact, approximation
algorithms, and heuristic methods for solving difficult
optimization problems. - Experience in prototyping and developing
software in traditional programming languages (Python, C++, Java
etc.). - Comfortable with SQL and experience with very large-scale
dataset. - Excellent writing skills to document the models and
analyses and for presenting business cases with results/conclusions
in order to influence important decisions. - Experience leading
large projects across cross functional teams. - Experience
collaborating with engineers to deliver novel scientific solutions.
Amazon is an equal opportunity employer and does not discriminate
on the basis of protected veteran status, disability, or other
legally protected status. Our inclusive culture empowers Amazonians
to deliver the best results for our customers. If you have a
disability and need a workplace accommodation or adjustment during
the application and hiring process, including support for the
interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more
information. If the country/region you’re applying in isn’t listed,
please contact your Recruiting Partner. The base salary range for
this position is listed below. Your Amazon package will include
sign-on payments and restricted stock units (RSUs). Final
compensation will be determined based on factors including
experience, qualifications, and location. Amazon also offers
comprehensive benefits including health insurance (medical, dental,
vision, prescription, Basic Life & AD&D insurance and option
for Supplemental life plans, EAP, Mental Health Support, Medical
Advice Line, Flexible Spending Accounts, Adoption and Surrogacy
Reimbursement coverage), 401(k) matching, paid time off, and
parental leave. Learn more about our benefits at
https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 -
226,100.00 USD annually
Keywords: Amazon, Edmonds , Senior Applied Scientist , EC2- Onhand Capacity Optimization, Science, Research & Development , Seattle, Washington