(Senior) Engineer Data Science (m/f/d)

Do you have a passion for Data? Do you look through the science in data? SIXT’s Data Science team helps our customers make better mobility decisions by transforming raw data into insights that power many of the products and features available on our website. We are looking for an extraordinary Data Scientist who’s passionate about machine learning and model building to join us. Our team develops mathematical models to solve complex business problems, and our work is critical to many areas including search, sort, bidding, geography, and revenue management. As a member of our group, you will collaborate with other talented scientists to move the business forward using novel approaches and rich sources of data. If you’re seeking an opportunity to apply your love of problem solving to real-world problems in a stimulating and data-rich environment, we’d like to talk to you. The primary focus of this position is to design, prototype, and analyse models that support efforts in search and geography at SIXT. Your work will improve the experience of millions of our customers and have a direct impact on our business results. We are coding the future of mobility! SIXT stands for success, agility, ownership and an intercultural team. Apply now and join our journey and become a part of the SIXT-Family.


Come as you are:

  • You will creating experiments based on exploratory analysis with our data in order to extract knowledge.
  • You will analyse data in order to confirm or disprove hypotheses by the product owners.
  • You will building statistical and machine learning models for prediction and segmentation and be responsible for designing and visualising metrics, constantly looking beyond the numbers.
  • You will monitoring key product metrics and analysing the reasons they change. Subsequently you will be proposing features and improvements for the business based on the insights you extract from data.
  • You will presenting results of your work on both detailed technical and business level and assist other data scientists on designing the right data models.

Do what you love:

  • As a developer and a passionate big data geek, you have at least 3 years of practical experience in datascience. You have already deployed one or more models to production and you know how to maintain model-based processes.
  • You have a strong background in statistics and machine learning (or related fields as e.g. information retrieval, natural language processing, computer vision, analytics, re-inforcement learning, etc.) and a good knowledge of Python or at least of programming languages such as R, Java, or Scala.
  • You have experience working with large amounts of real data using SQL or NoSQL.
  • You are the one who loves machine learning or NLP or Data mining, you quickly adapt to the domain and understand the data beneath. With the passion for numbers and figures you are able to solve your problems using data.
  • With your good communication skills you are able to communicate and visualise your findings.

Feel Good:

In addition to the obligatory table football, driving simulators, and ping-pong table, our two dedicated Feel Good Managers focus on the wellbeing of our SIXT Tech colleagues. Amongst other things they will support you with your relocation, finding accommodation, visa issues and help you to organize team events, Meetups, and Townhalls. Our offices have different sizes, you will definitely find something according to your preferences. We follow no dress code. As a member of the SIXT-Family, you get attractive car rental and leasing offers as well as access to our large employee benefit portal where you find attractive offers for traveling, shopping and more. During breakfast, lunch, and dinner our high-quality restaurant offers daily changing meat, fish and vegetarian dishes, as well as a salad bar and freshly-baked pizza. Our coffee lounge for meeting and relaxing is opened the whole day. COME AS YOU ARE and DO WHAT YOU LOVE: Join our 300 IT colleagues and apply now (in English or German preferred)!

Ons Youtube kanaal