Sr Applied Scientist Last Mile Science and Analytics

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast Have you wondered where it came from and how much it cost Amazon to deliver it to you If so the WW Amazon Logistics Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazons customers achieving ontime delivery in a costeffective manner.

We are looking for an enthusiastic customer obsessed Sr. Applied Scientist with good analytical skills to help manage projects and operations implement scheduling solutions improve metrics and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience as it will have a major impact on how the final phase of delivery is done at Amazon.

Ideal candidates will be a high potential strategic and analytic graduate with a PhD in (Operations Research Statistics Engineering and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research and the ability to use data and research to make changes.

This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team but also be comfortable making decisions independently in what is often times an ambiguous environment.

Responsibilities may include:

Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
Creating metrics to measure business performance identify root causes and trends and prescribe action plans
Managing multiple projects simultaneously
Working with technology teams and product managers to develop new tools and systems to support the growth of the business
Communicating with and supporting various internal stakeholders and external audiences

PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 10 years of industry or academic research experience
6 years of building machine learning models or developing algorithms for business application experience
Knowledge of programming languages such as C/C Python Java or Perl
PhD in econometrics statistics industrial engineering operations research optimization data mining analytics or equivalent quantitative field

PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
15 years of relevant broad research experience after PhD degree or equivalent.
Deep expertise in Machine Learning
Proficiency in programming for algorithm and code reviews.
Strong core competency in mathematics and statistics.
Track record of successful projects in algorithm design and product development.
Publications at toptier peerreviewed conferences or journals.
Strong prior experience with mentorship and/or management of senior scientists and engineers.
Thinks strategically but stays on top of tactical .
Exhibits excellent business judgment; balances business product and technology very well.
Effective verbal and written communication skills with nontechnical and technical audiences.
Experience working with realworld data sets and building scalable models from big data.
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.

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.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.