XING Marketing Solutions GmbH
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XING Marketing Solutions GmbH XING Marketing Solutions GmbH

(Senior) Data Scientist (m/f/x) – XING Marketing Solutions

  • Hamburg
  • Full-time employee
  • Professional/Experienced

XING, eine Tochter der New Work SE, ist das führende berufliche Netzwerk im deutschsprachigen Raum und unterstützt seine 19 Millionen Mitglieder dabei, so arbeiten zu können, wie es zu ihren Lebensentwürfen und individuellen Wünschen passt. Auf XING vernetzen sich Berufstätige aller Branchen und suchen und finden Jobs und Inspirationen zu aktuellen Themen der Arbeitswelt. Mit den vielfältigen News-Angeboten bleiben die Mitglieder auf dem Laufenden, können sich informieren und mitdiskutieren.

XING, a New Work SE subsidiary, provides advice and support to its more than 19 million members during the upheaval processes in the world of work. In an environment marked by a shortage of skilled workers, digitalization, and changes in values, XING helps its members achieve as harmonious a work/life balance as possible: For a better working life.

XING Marketing Solution is the business unit responsible for creating advertising solutions on XING.com and our mobile platforms. Data scientists, product owners, UX-designers and developers work together to create highly scalable solutions that serve our clients to promote their stories. Currently, the Marketing Solutions unit develops and maintains a self-booking advertisement solution and implements exciting new advertising formats. Visit advertising.xing.com for further details.

(Senior) Data Scientist (m/f/x) – XING Marketing Solutions

Join our interdisciplinary team of data enthusiasts at XING Marketing Solutions and help our clients promote their stories to the right audience on XING by leveraging our unique pool of user profile and interaction data. We develop scalable services for native ad delivery on XING.com using real-time CTR predictions. We offer clients automated predictions about campaign outcome and optimize our unit’s business via A/B testing and discrete-event simulation of our systems.

If you’re passionate about mathematical modeling and turning data assets into products, we’d love to hear from you.

You can look forward to:

  • Design and improve machine learning models for automated predictions.
  • Conduct off- and online evaluations of data science features.
  • Work closely with other data scientists and engineers to turn your ideas into production-grade services handling millions of requests each day.
  • Collaborate closely with experts and stakeholders from other disciplines to identify and leverage data-driven business opportunities.
  • Participate and drive collaboration in our company-wide data science and engineering community.

What we are looking for:

  • A Master’s degree or PhD in a quantitative discipline.
  • Proven track record of designing and operating data science solutions.
  • Support of all steps of the data science life cycle.
  • Good knowledge of relevant programming languages (Python, SQL, preferably also Scala), big data technologies (Hadoop, Spark, Hive), and tooling (Git, Docker, Kubernetes).
  • Team player with excellent communication skills and storytelling in English (no German required).
  • Business-driven mindset to turn data assets into revenue streams.

And what else:

Join us at our brand-new, innovative and dynamic office next to the River Elbe in Hamburg’s newest district, the Hafencity. Enjoy flexible working hours and the option to work up to 50% from home.  Benefit from the many training and development opportunities, language courses and regular team events on offer. Take on an exciting role within a motivated and friendly team, coupled with the freedom you need to develop and share your own ideas. Quench your thirst with free drinks and excellent coffee, along with a canteen and a bar where you can meet up with colleagues. Train and meet new people by visiting the free gym. Get a smartphone or iPad you can also use privately. Explore the city of Hamburg in your free time with a subsidised HVV ProfiTicket. What’s not to like about all that?

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Tim Wiedemann