Research Scientist II, Last Mile Science

Amazon’s Last Mile Team is looking for a passionate individual with strong
optimization and analytical skills to join its Last Mile Science team in the
endeavor of designing and improving the most complex planning of delivery
network in the world. Last Mile builds global solutions that enable Amazon to
attract an elastic supply of drivers, companies, and assets needed to deliver
Amazon's and other shippers' volumes at the lowest cost and with the best
customer delivery experience. Last Mile Science team owns the core decision
models in the space of jurisdiction planning, delivery channel and modes network
design, capacity planning for on the road and at delivery stations, routing
inputs estimation and optimization. Our research has direct impact on customer
experience, driver and station associate experience, Delivery Service Partner
(DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile
delivery requires deep understanding of transportation, supply chain management,
pricing strategies and forecasting. Only through innovative and strategic
thinking, we will make the right capital investments in technology, assets and
infrastructures that allows for long-term success. Our team members have an
opportunity to be on the forefront of supply chain thought leadership by working
on some of the most difficult problems in the industry with some of the best
product managers, scientists, and software engineers in the industry.

Key job responsibilities
Candidates will be responsible for developing solutions to better manage and
optimize delivery capacity in the last mile network. The successful candidate
should have solid research experience in one or more technical areas of
Operations Research or Machine Learning. These positions will focus on
identifying and analyzing opportunities to improve existing algorithms and also
on optimizing the system policies across the management of external delivery
service providers and internal planning strategies. They require superior
logical thinkers who are able to quickly approach large ambiguous problems, turn
high-level business requirements into mathematical models, identify the right
solution approach, and contribute to the software development for production
systems. To support their proposals, candidates should be able to independently
mine and analyze data, and be able to use any necessary programming and
statistical analysis software to do so. Successful candidates must thrive in
fast-paced environments, which encourage collaborative and creative problem
solving, be able to measure and estimate risks, constructively critique peer
research, and align research focuses with the Amazon's strategic needs. As a
senior scientist, you will also help coach/mentor junior scientists in the team.
Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative
field research experience
- Experience investigating the feasibility of applying scientific principles and
concepts to business problems and products
- Experience analyzing both experimental and observational data sets Preferred
Qualifications: - Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks

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