Company Description

Axel Springer National Media & Tech 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. Together, the websites attract more than 1 Mio digital subscribers.

There are several cross-functional teams that are building exiting products, like ML driven recommendations and personalizations for Bild.de or predictions for the customer lifetime value of our subscribers. We build in the last years an environment that provides all the necessary data to build amazing ML projects on top.

Are you an experienced data science lead, ready to take on this challenge with us? Axel Springer National Media & Tech has made it its mission to reach the next level of publishing - help us to evolve, innovate and accelerate. Join our team to build the next generation of data driven tools for digital publishing.

Job Description

data-loving scientist and shape with us the future of our subscription business

• you teach and guide a diverse team of Data Scientists on their respective projects and you are responsible for our Customer Intelligence Team, which is driving all optimizations towards our subscribers
• you play a crucial role in the stakeholder communication to explain all the "statistical magic" into plain english or german and help them to understand
• you become the 'go-to' person for the mechanics of our products and the underlying data
• you become an expert for our customers and marketing activities and a trusted advisor for our stakeholders
• you become an expert for our recommendation systems and play a pivotal role in making there the next steps
• you validate your ideas by analyzing historical data
• you design, implement, and analyze A/B tests
• next to your coaching and advisory topics, you take ownership for our projects and production pipelines, working hand-in-hand with your colleagues in the team to deliver high quality results
• you are a teacher and learner from everyone in the organization
• you are an advocate for data driven decisions – explain stakeholders what data we have and how to use it

Qualifications

solutions oriented team player with a passion for data

• you are a data scientist with at least 5 years of experience and extensive management experience
• you like to make sense out of huge amounts of data and you want to see your algorithms work in production
• ideally you have a phd in statistics
• you are a proactive and independent problem solver who has the ability to visualize and articulate complex issues and can communicate effectively with non-technical colleagues
• you have a strong knowledge of Python and the libraries for data manipulation and machine learning
• you write clean, readable and maintainable code
• experience with projects relating to CRM, CLV modeling, churn prediction and expertise in marketing would be a plus
• you have worked with Spark, R, Shiny or AWS before
• ideally you have worked with Palantir Foundry or comparable managed data platforms
• you are fluent in English, German is a big plus (stakeholder communication)
• experience with behavioral user data and A/B tests would also be a plus

Additional Information

culture of personal development, purposeful work, and a fun & supportive team

• your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills 
• a collaborative culture where cross-functional work allows you to explore other developers' domains, and your ideas are encouraged to stay ahead of the market by learning, evaluating, and implementing the latest technologies
• flexible working time and hybrid work create an ideal work life balance
• 30 days of vacation and 20 days for working abroad
• free lunch - in our onsite restaurants
• free choice of top-notch office equipment, up-to-date hardware, software and modern office spaces
• from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer-neubau.de/ 

Getting curious? Check out what we are doing on GitHub or check out our Techblog. 

The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde