Data Scientist

If you enjoy making sense out of large amounts of data, making it understandable for other people to use – apply now!
Data Scientist

Who are we
looking for?

& Experience
  • a university degree in computer science, mathematics, physics, statistics, or related fields
  • in-depth understanding of machine learning, statistics, data analytics, and a good understanding of IT
  • 3+ years of experience working with data science methods in business context (experience in managing data science teams is a plus)
  • experience with visualizing data in visual analytics tools (e.g., with Tableau, Qlik)
  • ability to prioritize and manage work in a fast-paced environment
  • experience with data wrangling
  • knowledge of Java, Scala, R or Python, Bash scripts
  • experience with Bayesian, kernel, ensemble ML methods, semi-supervised learning, reinforcement learning and deep learning, as well as with the implementation of ML/deep learning algorithms (e.g., with sci-kit-learn, Spark MLlib, TensorFlow, Keras)
  • understanding of safety, security, privacy, and legal issues relevant to digital products
  • strong communication and data presentation skills with the ability to effectively communicate project status and results to a broad range of audiences including leadership and technical developers
  • familiarity with agile product organizations and Dev/Ops methods
  • excellent command of written and spoken English
  • independent and goal-driven personality
  • above-average decision-making and problem-solving skills
  • a high sense of urgency and attention to detail
  • a pragmatic problem solver and out-of-the-box analytical thinker
  • experience working with project management tools, such as JIRA
  • ability to synthesize information and prioritize business goals
  • communicating predictions and findings through effective data visualizations and reports
  • working on exciting projects with a German car manufacturer
  • gaining customer behavior insights from real data from a car
  • finding patterns and relationships in data
  • using real-time analytics
  • solving optimization problems
  • approaching high-level challenges with a clear eye on what is important
  • detailing your techniques and discoveries to technical and non-technical audiences in a language they can understand
  • generating interesting research questions that will enhance our understanding of the matter at hand
  • using advanced statistical methods and mathematical models to prepare data for use in prediction and interpretation
  • working with the technology team on delivering the scope that generates business value
  • designing and maintaining a machine learning pipeline
  • evaluating and adapting new and improved approaches
  • efficiently managing your time and resources to meet project deadlines
  • collaborating with project members with different backgrounds on a daily basis

Make sure to upload all of the documents (CV, cover letter, etc.) in .pdf.
The job position is open until we find the most suitable candidate.

we’ve made

We don’t need to brag, we let our work speak for us.
Check out some of our projects.

Tools we use

We use Spark as a unified analytics engine for large-scale data processing.
We use the Qlik suite to transform raw data into actionable insights, in order to make smarter decisions and drive better outcomes.
For building real-time streaming data pipelines that reliably get data between systems or applications, we use Kafka.
A deck of open tools and standards we use for education, research, and data analytics.
A distributed file system designed to run on commodity hardware, streaming access to the data sets.
We use Slack for work and for fun. It’s our go-to tool for maintaining sanity both in the office and remote.
All of our work is on Github. Everything goes through pull requests and code reviews with your future team members.
Our end-to-end open source machine learning platform of choice.
Native analytic database for the Apache Hadoop. Impala provides low latency and high concurrency for BI/analytic queries.

What can you
expect from us?

We offer a number of benefits, high-quality tools,
bad jokes, and a stimulating work environment.

Professional development
Learning & development
We believe that honest two-way feedback is the foundation of growth. In our bi-weekly one-on-one talks and quarterly 360 reviews, we discuss what’s good and what could be better.
Versatile projects
Our teams get to work on very interesting projects for renowned brands and clients from a range of industries, some of which we can’t namedrop due to NDAs.
Educational budget
If you’re eager to learn, we’re eager to help. Every employee receives an educational budget to buy books, attend courses or visit conferences.
Contributing to open source
Sharing is caring doesn’t only apply to chocolate. Our way of giving back to the community is publishing open-source libraries and resources.
Paid language courses
Paid language courses help our employees master the English language, in addition to being fluent in their programming languages.
Doing a career switch
We don’t have a sorting hat to tell you where you belong, but we will support your career switch from one job position to another. More info here.
Traveling on business
Having clients all over the world means our employees sometimes have to travel to and work from beautiful locations. Gotta do what you gotta do.
Health &
Family life
Subsidized recreation
Stay in shape with a sponsored fitness membership of your choice. You never know when the elevator is going to go out of order.
Sponsored health checks
You know the old saying – the greatest wealth is health. Regular health checks are on us, getting your five-a-day in is on you.
Flexible working hours
Hate waking up very early or fancy going for a run at the lunch break? Tailor your working hours to fit your schedule.
Paid vacation for everyone
Students or non-students, everybody deserves a carefree time-out to recharge their batteries. Bon voyage!
the office
Free power-ups
Snack on fruit, cookies, and nuts to keep your energy levels up, then pour a cup of strong tea or coffee over it for a good measure.
Car and bike parking
Whether your ride comes on two wheels or four, don’t let it get caught in the rain. We offer free parking for bicycles and subsidize car parking.  
Working remotely
We like people who go the extra mile, so we don’t let miles and kilometers limit us. Office location? Anywhere. It’s all about flexibility.
Fun and games budget
Every team gets a monthly budget to hang out and do fun stuff. While foodie teams love restaurant hopping, adrenaline seekers prefer to get locked up in escape rooms.
Bring your dog to work
If your four-legged friend doesn’t eat MacBooks, let him tag along. Your colleagues will appreciate the stress relief.

Apply for
this position