Data Scientist Lead and Team Lead "Customer Intelligence Team" (m/f/d)

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 exciting products, like ML driven recommendations and personalizations for Bild.de or predictions for the customer lifetime value of our subscribers. We have built an environment that provides all the necessary data to develop amazing ML projects.

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 needed to shape the future of our subscription business

• You will teach and guide a diverse team of Data Scientists on their respective projects and be responsible for our Customer Intelligence Team, which drives all optimizations towards our subscribers.
• You will play a crucial role in stakeholder communication, explaining all the ’statistical magic‘ in plain English or German.
• You will become the ‚go-to‘ person for the mechanics of our products and the underlying data.
• You will become an expert for our customers and marketing activities and a trusted advisor for our stakeholders.
• You will become an expert for our recommendation systems and play a pivotal role in their next steps.
• You will validate your ideas by analyzing historical data.
• You will design, implement, and analyze A/B tests.
• Alongside your coaching and advisory roles, you will take ownership of our projects and production pipelines, working hand-in-hand with your colleagues to deliver high-quality results.
• You will be a teacher and learner from everyone in the organization.
• You will advocate for data-driven decisions and explain to 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 enjoy making sense out of huge amounts of data and want to see your algorithms work in production.
• Ideally, you have a PhD in statistics.
• You are a proactive and independent problem solver who can visualize and articulate complex issues and communicate effectively with non-technical colleagues.
• You have strong knowledge of Python and 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 for 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 training and learning lunches, tech conferences, a budget for workshops, and much more to expand your knowledge and 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:

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 look forward to receiving 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:

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