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<p>-------- Forwarded Message --------</p>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>[DMANET] [HIRING] Research/Applied Scientist for Surface
Transportation / Sustainability @ Amazon EU in Luxembourg</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Tue, 17 Aug 2021 23:45:25 +0000</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Gross, Martin via dmanet <a class="moz-txt-link-rfc2396E" href="mailto:dmanet@zpr.uni-koeln.de"><dmanet@zpr.uni-koeln.de></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
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<td>Gross, Martin <a class="moz-txt-link-rfc2396E" href="mailto:grosmar@amazon.lu"><grosmar@amazon.lu></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a> <a class="moz-txt-link-rfc2396E" href="mailto:dmanet@zpr.uni-koeln.de"><dmanet@zpr.uni-koeln.de></a></td>
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<br>
<br>
Hello everyone,<br>
<br>
Amazon EU has an opening for a research / applied scientist at the
Amazon EU in Luxembourg to work on problems related to surface
transportation and sustainability (i.e. the middle-mile logistics
part of Amazon's climate pledge).<br>
<br>
You will be joining a quickly growing multi-national research team
that tackles challenging problems related to logistics and
sustainability on a world wide scale. Our team is in the fast
growing Amazon EU headquarters in Luxembourg City, which has more
than 3000 employees already.<br>
<br>
Luxembourg is a small country in the heart of Europe with a very
international population and excellent public health care and
social security, free public transport and very low crime. It is
well connected to all the major European cities. Luxembourg has
three official languages (Luxembourgish, French, German) and
English is widely spoken as well.<br>
<br>
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.<br>
<br>
We are very willing to sponsor visas!<br>
<br>
BASIC QUALIFICATIONS<br>
<br>
* PhD in Operations Research, Machine Learning, Statistics,
Applied Mathematics, Engineering, Computer Science or other field
related to algorithms.<br>
* Excellent written and verbal communication skills. Ability to
communicate at a level appropriate to the audience.<br>
* Experience implementing algorithms in traditional programming
languages (C++/ Java/ python)<br>
* Comfortable to tradeoff complexity and efficiency of solution
methodologies, according to the requirements of the problem.
Ability to deal with ambiguity.<br>
* Experience designing and implementing models and algorithms for
one or more:<br>
* Combinatorial optimization problems (e.g., scheduling, vehicle
routing, and facility location).<br>
* Continuous optimization problems (e.g., linear programming,
convex programming, non-convex programming).<br>
* Predictive analytics (e.g., forecasting, time-series, neural
networks)<br>
* Prescriptive analytics (e.g., stochastic optimization, bandits,
reinforcement learning).<br>
<br>
PREFERRED QUALIFICATIONS<br>
* Detailed knowledge of optimization methods including linear and
mixed-integer programming, network modeling, constraint
programming, approximation algorithms, and advanced heuristic
techniques.<br>
* Expertise on MIP strategies to customize and leverage commercial
algorithms and adapt them as required.<br>
* Detailed knowledge of forecasting techniques with time-series
tools, including ARIMA models, exponential smoothing, LSTM, CNNs.<br>
* Expertise on policy optimization techniques, including
reinforcement learning, deep Q-learning, bandits, and online
optimization.<br>
* Experience implementing models and analysis tools through the
use of high-level modeling languages (e.g. R, Matlab as examples).<br>
* Experience collecting, processing and combining big data with
appropriate methodologies (e.g. Hadoop, Map-Reduce)<br>
<br>
To apply please use the link:<br>
<a class="moz-txt-link-freetext" href="https://amazon.jobs/en/jobs/1667294/research-scientist">https://amazon.jobs/en/jobs/1667294/research-scientist</a>><br>
Best regards,<br>
Martin Gross<br>
Amazon Transportation Services<br>
Senior Applied Scientist<br>
Sustainability & Surface Transportation Research<br>
<br>
<br>
<br>
Amazon EU societe a responsabilite limitee, 38 avenue John F.
Kennedy, L-1855 Luxembourg, R.C.S. Luxembourg n<br>
B101818, autorisation d'etablissement en qualite de commercante n
134248, TVA LU 20260743<br>
<br>
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