Data Scientist - Berlin, Deutschland - Axel Springer National Media & Tech GmbH & Co. KG

Lena Wagner

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Lena Wagner

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Beschreibung
Company Description


Axel Springer National Media & Tech is responsible for over 60 products from more than 25 brands and some of Europe's largest news sites, including and Together, these sites attract more than 1 million digital subscribers.


Customer Intelligence is a team of data scientists and data engineers who help BILD and WELT understand what drives their subscriber growth and build the technology to improve their marketing and customer relationship management accordingly.

We work closely with BILD and WELT's marketing and product teams, collaborating with Customer Relationship Management, Insights & Analytics, Customer Acquisition, and others to help maximize future subscription revenue.


Job Description:


data-loving scientist and shape with us the future of our subscription business
- you work with us to improve the growth of our subscriber base through optimized acquisition, retention and winback
- you develop and optimize interpretable machine learning algorithms to predict churn, customer lifetime values, and other customer metrics, leveraging statistics and econometrics
- you build and maintain robust data pipelines and data models to provide the basis for our algorithms
- you become an expert for our customers and marketing activities and a trusted advisor for our stakeholders
- you validate your ideas by analyzing historical data
- you design, implement, and analyze A/B tests
- 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


Qualifications:


solution oriented team player with a passion for data
- you are a data scientist with 3-5 years of experience, who likes to make sense out of huge amounts of data and you want to see your algorithms work in production
- 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 solid understanding of machine learning, statistics and econometrics
- 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
- it would be great if you worked with Spark, R, Shiny or AWS before
- you are fluent in English, German is a plus

Additional Information

chance of boosting your personal development with seminars, workshops, various conferences and talks
- a modern office in the centre of Berlin where you can enjoy a free lunch and many other benefits, but also the flexibility to enjoy mobile work

  • Employee offers that suit you and your life situation: Whether discounted public transport ticket or JobRad leasing, bicycle garage (incl. regular bicycle service), childcare offers or two modern kindergartens in the company
  • 30 days of vacation plus 10 days of workation (within Europe)
- we support open source development, tech blogging and having speeches at conferences
- look forward to a diverse and open-minded work environment with different communities and interest groups in which you can actively participate
- your personal growth is important to us: we offer trainings and learning lunches, tech conferences and much more to expand your knowledge and your skills
- we offer you a permanent position in full-time or part-time.

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

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