Schenectady, New York
Fort Collins, Colorado
Vancouver, British Columbia, Canada
Palo Alto, California
Iowa City, Iowa
Princeton, New Jersey
Location: Seattle/Bellevue, Washington
Type: Full Time
Amazon Services is seeking an Sr. Research Scientist to be part of a team solving complex operations problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring modeling, statistical modeling, simulation modeling, and advancements to data analytics for customer-facing solutions in complex and settings.You will work closely with product, research science, business/operations and technical leaders throughout ATS Linehaul, Sort Centers, Air, Amazon Delivery and Last Mile Technology and teams and will be responsible for building capabilities at the intersection of these groups to optimize the performance of the end to end . This will include analyzing large amounts of business data, building end-to-end data pipelines, models and production code, and building the , and/or simulation engine capabilities that will enable us to improve end to end Amazon performance. The end to end component makes this a unique role as you will be developing an integrated vs siloed solution. This role has exposure to senior leadership as we communicate results and provide scientific guidance to the business. Your insights will also be key to influencing funding decisions in areas of investment that you identify as critical future product offerings.The ideal candidate will have extensive experience in Science work (with a focus on and/or simulation), business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.Tasks/ Responsibilities:· Partnership with the engineering and operations to drive modeling and design for complex business problems.· Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space.· Contribute to the short and mid end to end Amazon wide planning studies and analysis.· Lead complex modeling analyses to aid management in making key business decisions and set new policies.
· Ph.D. in Modeling and Simulation, , Operations Research, Management, Operations Management, Industrial Engineering, Systems Engineering, Computer Science, Applied Mathematics, Statistics or a related field.· Experience designing/implementing algorithms tailored to particular business needs and tested on large datasets.· Detailed knowledge of methods to solve linear and integer programming models.· Experience designing simulation and solution for large scale applications.· Experience in writing scripts (Perl, Ruby) to manipulate data and developing software applications in programming languages such as C++, Java, and Python.· The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab, Julia) is a plus.· Excellent communication skills with both technical and non-technical audiences.· Strong problem-solving ability and the ability to work in ambiguous and constantly evolving environment.· Ability to work independently and as part of a diverse team.· 5+ yrs of relevant, broad research science experience after PhD degree.
· Experience in data mining and using databases in a business environment with , complex datasets.· Strong personal interest in , researching, and creating new technologies with high customer impact.· Ability to work on a diverse team or with a diverse range of coworkersAmazon 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.