SPRING is responsible for over 60 products from more than 25 Brands and some of Europe’s biggest news sites including BILD.de and WELT.de. Over 350 people at SPRING are working on an innovative media platform to make quality journalism accessible for everyone. We are providing a great user experience on both sides – for readers and journalists, connecting them with the newest technologies.
Together with BILD.de and WELT.de we are reaching more than 20m users every day and our data pool is growing constantly. In addition, our data contains thousands of articles, images, videos and user content. Long story short: We have tons of data!
We, a small team of Data Engineers and Data Scientists, want to dive deep into this massive amount of data to help making data related business decisions and forecasts to help growing our business. You, our new team member, will be responsible to analyze usage patterns, classify and forecast user behavior and improve the live of our journalists with text classifications. Identifying use cases for machine learning and informing other stake holders in the company of how to make use of the data will be also part of your job - in general you will be an Data Advocate.
Nobody hits the ground running. You won’t be able to answer every question immediately or know how all systems work on your first day—and we don’t expect you to. Together as a team we want to grow with our data and we’re looking for you to be part of this team!
Your challenge
- Guide, teach and learn from everyone in the organization
- Be an advocate for data driven decisions – explain stakeholders what data we have and how to use it
- Shed light on our dark data
- Identify users who are likely to churn – no one likes to get churn prevention mails if you are a highly engaged user
- Build a recommendation engine what to read next
Your profile
- You have an analytical mindset and the ability to visualize, articulate, solve problems, and make decisions based on the information available – and can communicate your decisions to non-technical persons
- You have a solid understanding of machine learning and statistics (Random Forests, SVMs, etc.) and of best practices in feature extraction, dimensionality reduction and model validation
- You know and love your tools like Python or R including the relevant libraries for data mangling and machine learning
- It is natural for you to work in an agile environment
- It would be a plus if you have worked on behavioral user data before as well as experience in working with AWS
What we offer at SPRING
- The chance of boosting your personal development with seminars, workshops, various conferences and tech talks – like our biweekly occurring tech-breakfast
- Regular exchange and networking with subsidiaries of the Axel Springer Group (eg. Awin, idealo, Bonial, Stepstone, Immonet and many more)
- Flexible working hours
- An above average number of vacation days
- A free lunch in our on-site restaurant every day
- A MacBook, which can also be used privately
- A permanent position in a modern office in the heart of Berlin
Getting curious? Check out what we are doing on GitHub: github.com/spring-media