Vice President Data Science (m/w) - XING Corporate

For a better working life

For a better working life

Vice President Data Science (m/f)

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! We currently have an opening at our headquarters in Hamburg.  

Our Data Science team is responsible for turning data into services and products for XING. Our R&D work builds on internal and external data to find novel models, algorithms and products for our customers. We work with the latest technologies and massive datasets to create highly scalable solutions that serve more than 10 million users in the German-speaking countries.

A challenging task

  • Lead and grow a highly international team of ~20 data scientists and engineers who build best-in-class data products and services based on XING’s data, including Search and Recommender Systems
  • Provide oversight and mentorship to 3 direct reports at Director or Team Lead level, each with ~5-10 years of experience in data science and data engineering
  • Define and implement the high-level strategy and roadmap for the Data Science team based on a thorough understanding of XING’s company strategy, the business unit roadmaps, B2C user and B2B customer needs, market trends and the competitive landscape
  • Align your strategy and roadmap with the Executive Board, the business unit heads and other stakeholders in the company
  • Engage with your team and other product development teams to translate plans into specific projects, timelines and deliverables
  • Together with your team, conduct and challenge analyses of XING’s data and user research to identify opportunities for improvements as well as new services and products
  • As part of XING’s leadership team, help to shape the company’s overall strategy and take a lead role in M&A activities and post-merger integration topics 
  • Represent the team and XING within the Burda Group and at external events

A convincing background

  • MSc or PhD in statistics, maths, computer science or a similar discipline
  • 5-15 years of industrial experience as a senior data science leader, company founder or product management executive, preferably in the online domain
  • Solid theoretical and practical knowledge of statistics, data mining, machine learning and scalable algorithms; hands-on skills in exploring large datasets
  • Outstanding drive and interpersonal skills as well as the will to challenge the status quo
  • Ability to tell compelling stories with data and a deep appreciation for both the power and limits of data
  • Proven ability to guide cross-functional teams through influence and logical reasoning rather than direct management
  • Proficient English language skills (German not required)
  • Experience with Scala, Hadoop (incl. Hive), ElasticSearch and Kafka would be a plus

An inspiring environment

XING offers a dynamic environment located in the centre of Hamburg. As well as flexible working hours, you’ll have an opportunity to unleash your skills and acquire new ones. We offer a wide range of training courses in addition to German, English and Spanish lessons, regular team and offsite events, and lots of fun. We also provide free drinks and organic fruit as well as a Proficard public transport ticket, restaurant vouchers and travel insurance. And let’s not forget the smartphone or iPad that you can use privately. You’ll also be provided with a high-end Macbook Pro, and our offices have table football tables. If you’re feeling really sporty, we also have great gym deals, and various other benefits….

If this profile matches your expertise, experience and aspirations, we’d be delighted to receive your full application, including salary requirements and possible starting date.

We're an Open Source contributor ( and let the world know what we're doing ( while also organising public user groups and coding events.



Stephanie von Elmbach

Stephanie von Elmbach

Team Lead Technical Recruitment

Business Services, Data Science 

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