Data Scientist (m/f/d) Marketing Analytics

  • Berlin, Germany
  • Full-time

Company Description

TeamViewer is a leading global technology company that provides a connectivity platform to remotely access, control, manage, monitor, and repair devices of any kind – from laptops and mobile phones to industrial machines and robots. TeamViewer proactively shapes digital transformation and continuously innovates in the fields of Augmented Reality, Internet of Things or Artificial Intelligence. Since the company’s foundation in 2005, TeamViewer’s software has been installed on more than 2.2 billion devices around the world. The company is headquartered in Goppingen, Germany, and employs more than 1,000 people globally.

Job Description

Join our Marketing Analytics team as Data Scientist (m/f/d) and take ownership of the analysis of huge amounts of data within a data-driven company to support important business decisions with the help of modern techniques of Data Mining and Machine Learning to help understand customer behavior. This position reports to the Director of Marketing Analytics & Data Science and provides excellent opportunity to create impact and add value.

  • Crunch data to arrive at crucial business insights
  • Develop and maintain algorithms for Data Science models
  • Support other teams in turning your insights into real profit for the company
  • Monitor client behavior all over the world and infer usage patterns out of client data
  • Test hypotheses on root causes of client behavior
  • Facilitate the client acquisition processes with data enriching scrapers and lead quality management
  • Analyze unstructured data with the help of text mining and social analytics
  • Work individually on assigned data research topics and support other data scientists with analytical capacity


  • University degree in Mathematics/Statistics, Computer Science, or equivalent
  • 3+ years of professional experience in Data analytics. Big Data experience is a plus
  • Familiarity with ML procedures such as Generalized Linear Models, Ensemble or Boosting methods as well as clustering or matrix decomposition methods needed. Graph analytics experience is an advantage
  • Realized projects in Data Handling & Analysis, hands-on track record in Python data mining, as well as traditional SQL use cases. Knowledge of Map-Reduce, Spark, Hive or Kafka would be a plus
  • Proven knowledge of programming in Python (will be tested within interview process). Background in working with Spark or Scala would be an advantage
  • Solid literacy in Visualization tools (Tableau, Power BI, etc.) and/or Python packages (matplotlib, plotly or similar)
  • Knowledge of Web analytics would be a plus
  • High motivation to solve complex problems in close collaboration with others
  • Goal-oriented attitude in combination with eagerness to create real business impact
  • Team-player, volunteering to step in where you feel it might be of help to achieve the goal
  • Feedback-prone mindset, actively shares own opinion & accommodates feedback from others

Additional Information

  • Contract location would be either Göppingen or Berlin, Germany
  • Until the COVID-19 related restrictions are lifted, we will remain in the home-office work-mode. Afterwards we will keep flexible work arrangements and home office option up to 50%
  • Grab the opportunity to provide active input on a fast-growing company and TeamViewer product downloaded and used thousands of times every day, all around the world
  • It's all about the team: become part of a community that values respect, support and open feedback
  • Enjoy an attractive workplace with modern equipment within a dynamic company that enjoys continuous, healthy growth
  • We truly live and celebrate our cultural diversity: our colleagues come from more than 70 countries and speak more than 40 languages
  • Benefit from learning opportunities – internal & external
  • We provide the room for creativity and contributions in a technically diverse environment: Windows, Linux, MacOS, Mobile (iOS/Android), C++, C#, Continuous Integration, Continuous Delivery
  • Work on open source technologies and hacker-friendly projects

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