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Amazon is a com­pany of build­ers. A philo­sophy of own­er­ship car­ries through everything we do — from the pro­pri­et­ary tech­no­lo­gies we cre­ate to the new busi­nesses we launch and grow. You’ll find it in every team across our com­pany; from provid­ing Earth’s biggest selec­tion of products to devel­op­ing ground-break­ing soft­ware and devices that change entire indus­tries, Amazon embraces inven­tion and pro­gress­ive think­ing. Amazon is con­tinu­ally evolving; it’s a place where motiv­ated employ­ees thrive, and own­er­ship and account­ab­il­ity lead to mean­ing­ful res­ults. It’s as simple as this: we pion­eer.

With every order made and par­cel delivered, cus­tomer demand at Amazon is grow­ing. And to meet this demand, and keep our world-class ser­vice run­ning smoothly, we're grow­ing our teams across Europe. Deliv­er­ing hun­dreds of thou­sands of products to hun­dreds of coun­tries world­wide, our Oper­a­tions teams pos­sess a wide range of skills and exper­i­ence and this include soft­ware developers, data engin­eers, oper­a­tions research sci­ent­ists, and more.

Applied Sci­ence Intern­ship

Loc­a­tion: DE
Dur­a­tion: 4-6 months

Work­ing field:

About these intern­ships:
Whatever your back­ground, if you are excited about mod­el­ing huge amounts of data and cre­at­ing state of the art algorithms to solve real world prob­lems, if you have a pas­sion for using machine learn­ing/math­em­at­ical optim­iz­a­tion to design optimal or near optimal solu­tion meth­od­o­lo­gies to be used by in-house decision sup­port tools and soft­ware, if you enjoy solv­ing oper­a­tional chal­lenges by using com­puter sim­u­la­tions, and if you’re motiv­ated by res­ults and driven enough to achieve them, Amazon is a great place to be. Because it’s only by com­ing up with new ideas and chal­len­ging the status quo that we can con­tinue to be the most cus­tomer-cent­ric com­pany on Earth, we’re all about flex­ib­il­ity: we expect you to adapt to changes quickly and we encour­age you to try new things.

Amazon is look­ing for ambi­tious and enthu­si­astic stu­dents to join our unique world as interns. An Amazon EU intern­ship will provide you with an unfor­get­table exper­i­ence in a fast-paced, dynamic and inter­na­tional envir­on­ment; it will boost your resume and will provide a superb intro­duc­tion to our activ­it­ies.

As an intern in Ops Research and mod­el­ling, you could join one of the fol­low­ing teams: Sup­ply Chain, Trans­port­a­tion, HR, Employee Rela­tions and more.

You will put your ana­lyt­ical and tech­nical skills to the test and roll up your sleeves to com­plete a pro­ject that will con­trib­ute to improve the func­tion­al­ity and level of ser­vice that teams provides to our cus­tom­ers. This could include:
  • Ana­lyze and solve busi­ness prob­lems at their root, step­ping back to under­stand the broader con­text
  • Apply advanced stat­ist­ics /data min­ing/ oper­a­tions research tech­niques to ana­lyze and make insights from big data (data sets could include: his­tor­ical pro­duc­tion data, volumes, trans­port­a­tion and logist­ics met­rics, sim­u­la­tion/exper­i­ment res­ults etc.) across mul­tiple geo­graph­ies.
  • Closely col­lab­or­ate with oper­a­tions research sci­ent­ists, data sci­ent­ists, busi­ness ana­lysts, BI teams, developers, eco­nom­ists and more on vari­ous mod­els’ (includ­ing pre­dict­ive/pre­script­ive mod­els) devel­op­ment.
  • Per­form quant­it­at­ive, eco­nomic, and/or numer­ical ana­lysis of the per­form­ance of sup­ply chain sys­tems under uncer­tainty using stat­ist­ical and optim­iz­a­tion tools to find both exact and heur­istic solu­tion strategies for optim­iz­a­tion prob­lems.
  • Cre­ate com­puter sim­u­la­tions to sup­port oper­a­tional decision-mak­ing. Identify areas with poten­tial for improve­ment and work with internal teams to gen­er­ate require­ments that can real­ize these improve­ments.
  • Cre­ate soft­ware pro­to­types to verify and val­id­ate the devised solu­tions meth­od­o­lo­gies; integ­rate the pro­to­types into pro­duc­tion sys­tems using stand­ard soft­ware devel­op­ment tools and meth­od­o­lo­gies.
  • Con­vert stat­ist­ical out­put into detailed doc­u­ments which influ­ence busi­ness actions


We want to hire the world’s bright­est minds, and offer them an envir­on­ment in which they can learn and help improve the exper­i­ence for our cus­tom­ers.
  • You are cur­rently work­ing towards a 2+ years uni­versity degree in Stat­ist­ics, Machine Learn­ing, Eco­no­met­rics, Applied Math­em­at­ics, Com­puter Sci­ence, Oper­a­tions Research or a closely related field.
  • Excel­lent writ­ten and verbal com­mu­nic­a­tion skills in Eng­lish.
  • You must have the right to work in the coun­try you are apply­ing for.
  • You are able to use at least 2 stat­ist­ical mod­el­ing/pro­gram­ming lan­guages or tool­boxes (R, SAS, SPSS, Mat­lab, Python Data Sci­ence Stack, XPRESS/Gur­obi/CPLEX).
  • Some know­ledge in writ­ing scripts (Perl, Ruby) to manip­u­late data and devel­op­ing soft­ware applic­a­tions in tra­di­tional pro­gram­ming lan­guages (C++, Java, Python).
  • Know­ledge of either lin­ear pro­gram­ming, com­bin­at­or­ial optim­iz­a­tion, integer pro­gram­ming, dynamic pro­gram­ming, net­work flows and algorithms or super­vised learn­ing meth­ods (lin­ear and logistic regres­sion, gen­er­al­ized lin­ear mod­els, decision trees, ran­dom forests, sup­port vec­tor machines, graph­ical mod­els, neural net­works, etc.) as well as unsu­per­vised learn­ing meth­ods (K-means, hier­arch­ical clus­ter­ing, asso­ci­ation rules, prin­cipal com­pon­ents, etc.)
  • Very strong self-learn­ing skills. Abil­ity to pick up and adapt mod­el­ing meth­ods from other dis­cip­lines or lever­age meth­ods from other skilled col­leagues in other depart­ments in solv­ing prob­lems.
  • You are res­ults-driven with ana­lyt­ical skills and the abil­ity to innov­ate and sim­plify cur­rent pro­cesses and prac­tices.
  • You should have strong decision mak­ing skills, that use sound reas­on­ing and when required use con­sulta­tion to achieve con­sensus.
  • The per­sonal drive and enthu­si­asm that makes you stand out from the crowd!

Nice to have:
  • Exper­i­ence with large-scale data pro­cessing plat­forms such as Apache Spark and Hadoop.
  • Know­ledge Scala/ Spark or PyS­park.
  • Exper­i­ence in data min­ing, SQL, ETL, etc. and using data­bases in a busi­ness envir­on­ment with large-scale, com­plex data­sets.
  • Know­ledge of busi­ness intel­li­gence report­ing tools (OBIEE, Busi­ness Objects, Cognos, Tableau, MicroStrategy).
  • Famili­ar­ity with sup­ply chain man­age­ment con­cepts - fore­cast­ing, plan­ning, optim­iz­a­tion, and logist­ics - gained through work exper­i­ence or gradu­ate level edu­ca­tion
  • Abil­ity to work suc­cess­fully in an ambigu­ous envir­on­ment, to meet tight dead­lines and pri­or­it­ize work­load even when faced with con­flict­ing pri­or­it­ies.
  • Pre­vi­ous work exper­i­ence – a sum­mer job, intern­ship or full-time role; if it’s an exper­i­ence in a sim­ilar field, even bet­ter!

What we of­fer:

Amazon is an equal oppor­tun­it­ies employer. We believe pas­sion­ately that employ­ing a diverse work­force is cent­ral to our suc­cess. We make recruit­ing decision based on your exper­i­ence and skills. We value your pas­sion to dis­cover, invent, sim­plify and build. We wel­come applic­a­tions from all mem­bers of soci­ety irre­spect­ive of age, sex, dis­ab­il­ity, sexual ori­ent­a­tion, race, reli­gion or belief.
By sub­mit­ting your resume and applic­a­tion inform­a­tion, you author­ize Amazon to trans­mit and store your inform­a­tion in the Amazon group of com­pan­ies' world-wide recruit­ment data­base, and to cir­cu­late that inform­a­tion as neces­sary for the pur­pose of eval­u­at­ing your qual­i­fic­a­tions for this or other job vacan­cies