zur Übersicht

  • Hamburg
  • Full-time employee
  • Professional/Experienced
Bewerben

XING is the social network for business professionals with
millions of members all over the world. Help us shape the future –
for a better working life!

As an expanding social network, with a focus on bringing value
to our users, data is at core of every NEW WORK products and
companies. Our Data Scientists and Data Engineers work amongst
other projects on bringing state-of-the-art algorithms into
production, establishing our new A/B testing platform, and/or
create highly scalable solutions that serve millions of users. From
every-day decision-making to advanced machine-learning based
products, NEW WORK has invested over the years into its data
technology footprint, making use of technologies such as Hadoop
(e.g. Hive, Spark), Kafka, Cassandra, Elasticsearch, etc.

NEW WORK SE is now looking to welcome talented Data Scientists at
all level (from junior to senior) to join our 300 highly skilled,
deeply motivated and dedicated engineers and product developers
throughout our various locations in Europe (Hamburg, Barcelona,
Valencia, Porto, etc.), sharing a healthy culture of learning from
each other via pairing, communities of practice, joint hackweek
projects etc.

  • Solve challenging problems in the context of search,
    recommender systems and machine learning.
  • Perform analyses on massive amounts of data and build scalable
    machine learning models, ranking algorithms and help automating
    machine learning processes.
  • Develop new and enhance algorithms and services using
    technologies such as Scala, elasticsearch, and Hadoop technologies
    (e.g. Hive, MapReduce).
  • Work in a cross-functional team and collaborate closely with
    Data Engineers and Analysts to setting up the (technical) design,
    evaluation of new algorithms, machine learning models, supporting
    the implementation and other data-driven features and
    services.
  • MSc or PhD in Computer Science, Math or similar
    discipline.
  • Hands-on experience in exploring large datasets (e.g. with
    Hive, R, Python, etc.) and creating machine learning models.
  • Solid programming skills (preferably also in Scala/Java).
  • Experience in implementing scalable models and algorithms that
    process large datasets and are used in production services.
  • Theoretical and practical knowledge in the information
    retrieval or machine learning domain (ideally, experience in
    developing ranking models).
  • Proficient English language skills (German is not
    required).
  • A positive mindset and the social skills to work in a highly
    international and distributed setup, and desire to learn and share
    your knowledge with your Community of Practice.
  • Prompt to laugh. Daily. Multiple times.

New Work SE offers a dynamic environment. Besides flexible
working hours and some days to “work from home”, you will have an
opportunity to extend your skills and acquire new ones. We offer a
wide range of training courses from technical ramp-up to foreign
language lessons, regular team and offsite events, access to
conferences, and lots of fun. You will work in a multicultural and
international environment (XING employees come from more than 30
different countries), with people speaking English, German,
Spanish, Arabic etc., but also Ruby on Rails, Elixir, Go, Java,
Scala, Python, Kotlin and so on. If you like technology, you will
feel at home with us!

We also provide free drinks and organic fruit as well as public
transport ticket, restaurant vouchers and travel insurance. And let
us not forget the smartphone or iPad that you can use privately.
You will also be provided with a high-end MacBook Pro, and our
offices have table football tables. If you are feeling really
sporty, we also have great gym deals, and various other
benefits.

Check out our XING engineering blog at
https://tech.xing.com/

Firmenkontakt und Herausgeber des Stellenangebots:

New Work SE

Für das oben stehende Stellenangebot ist allein der jeweils angegebene Herausgeber
(siehe Firmenkontakt oben) verantwortlich. Dieser ist in der Regel auch Urheber des Stellenagebotstextes,
sowie der angehängten Bild-, Ton-, Video-, Medien- und Informationsmaterialien. Die United News Network GmbH
übernimmt keine Haftung für die Korrektheit oder Vollständigkeit des dargestellten Stellenangebots. Auch bei
Übertragungsfehlern oder anderen Störungen haftet sie nur im Fall von Vorsatz oder grober Fahrlässigkeit.
Die Nutzung von hier archivierten Informationen zur Eigeninformation und redaktionellen Weiterverarbeitung
ist in der Regel kostenfrei. Bitte klären Sie vor einer Weiterverwendung urheberrechtliche Fragen mit dem
angegebenen Herausgeber. Eine systematische Speicherung dieser Daten sowie die Verwendung auch von Teilen
dieses Datenbankwerks sind nur mit schriftlicher Genehmigung durch die United News Network GmbH gestattet.