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Audi­ble GmbH

Audi­ble GmbH, an Ama­zon com­pany, is the lea­ding pro­vi­der of pre­mium digi­tal spo­ken audio infor­ma­tion and enter­tain­ment on the inter­net, offe­ring cust­o­m­ers a new way to enhance and enrich their lives every day. Audi­ble’s con­tent offe­ring com­pri­ses more than 200,000 audio­books and audio plays from 800 publis­hers. Tit­les down­loa­ded from Audi­ble are com­pa­ti­ble with hund­reds of mobile devices, inclu­ding the iPhone and Android smart­pho­nes. Audi­ble is also the pree­mi­nent pro­vi­der of spo­ken-word audio pro­ducts for Apple’s iTu­nes® Store.

Work­ing Stu­dent – Data Sci­ence (m/f)

Work­ing field:

Hey – there’s a revolu­tion going on! A revolu­tion in digital enter­tain­ment. Every day mil­lions of people around the world choose to be more thought­fully enter­tained, informed and edu­cated by listen­ing to fas­cin­at­ing stor­ies and all forms of fic­tional and non-fic­tional con­tent on their smart­phones and other mobile devices.

Based in Ber­lin, Aud­ible is look­ing for a Work­ing Stu­dent – Data Sci­ence (m/f)

As a Data Sci­ent­ist, you will be a mem­ber of an inter­dis­cip­lin­ary research team of Data Sci­ent­ists respons­ible for mod­el­ing in many busi­ness areas, includ­ing but not lim­ited to Cus­tomer: seg­ment­a­tion, care, acquis­i­tion, reten­tion, engage­ment, propensity, and value; Product: sim­u­la­tion, test­ing, and eval­u­ation; Con­tent: acquis­i­tion, pri­cing, valu­ation, and recom­mend­a­tion.

You have a pas­sion for build­ing mod­els based on big data and its sup­port­ing tech­no­lo­gies and plat­form com­pon­ents. You will be an ena­bler for cut­ting edge mod­el­ing efforts, pas­sion­ate about access­ing, mov­ing, and pro­cessing tera­bytes of data in a per­form­ant, scal­able, fault-tol­er­ant way, and will dis­play your strong prob­lem-solv­ing abil­ity under dif­fer­ent set­tings (e.g. devel­op­ment, test, pro­duc­tion, …)

You will be able to thrive in the power­ful, advanced envir­on­ment that makes Amazon such a unique com­pany in the area of data-pro­cessing tech­no­logy, and will be offered a per­fect mix of respons­ib­il­ity and ment­or­ing, as well as ideal, flex­ible con­di­tions to con­tinue to study.

Require­ments:

Basic Qual­i­fic­a­tions:
  • Pas­sion for data (and fear­less­ness in the face of a data tsunami), cod­ing, mod­el­ing, research design and cut­ting-edges algorithms.
  • Pro­gram­ming lan­guages: Python, Scala, R, (com­plete flu­ency in at least one in decreas­ing order of pref­er­ence).
  • Pro­fi­cient in Linux and shell script­ing
  • You are flu­ent in Eng­lish, both writ­ten and spoken skills
  • Self-driven and motiv­ated to learn and explore
  • You must be enrolled in a first degree study course (1st Bach­elor or 1st Mas­ter) at a Ger­man uni­versity to ful­fill the work­ing stu­dent cri­teria.

Pre­ferred Qual­i­fic­a­tions:
  • Expos­ure to AWS, Spark a plus
  • Expos­ure to advanced soft­ware engin­eer­ing envir­on­ments (ver­sion con­trol, com­mand line…) a plus
  • Expos­ure to Agile way of work­ing a plus
  • You are pro­fi­cient in SQL / ETL, with hands-on exper­i­ence in a busi­ness envir­on­ment
  • You are enrolled in com­puter sci­ence / engin­eer­ing / math­em­at­ics / stat­ist­ics or sim­ilar uni­versity pro­grams and have at least one year of your stud­ies left

What we of­fer:

  • You’ll be an import­ant part of our team for prefer­ably two years and be involved in all aspects of our daily busi­ness. You’ll gain expert­ise and tech­nical know-how in a mod­ern and fast paced com­pany.
  • Excit­ing insights into one of the lead­ing com­pan­ies in the sec­tor of audiobooks and spoken word
  • An extraordin­ary office, loc­ated in Ber­lin Mitte.

This is a stu­dent pos­i­tion for 18-20h/week with a salary of 12€/h.

How to ap­ply:

Sounds inter­est­ing? If you are look­ing for a new chal­lenge in an innov­at­ive com­pany, where you will be sur­roun­ded by an engaged and fun team, Aud­ible is your next stop! Do not hes­it­ate to send us your applic­a­tion with all details together with your cover let­ter. Please use our applic­a­tion tool.