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Senior Data Scientist

Creata il 11-09-2018
Location Berlin

Descrizione

Founded in 2007, Babbel is the world’s top-grossing and most effective language-learning app. No small feat, and no small challenge. In a moment rife with talk of walls, we’re building bridges — making the language-learning journey as exciting and empowering as possible, helping people forge new connections and participate in worlds bigger than their own. We do things that matter. And foremost, we make people speak their new language as they’ve always wanted to. Come work with us.


There’s still so much to do.


Babbel is for everyone, not some niche or elite strata of learners. Everyone. As our user base has grown, so has what they need from us. Their learning needs, life experiences, and reference points become more varied and colourful by the day. Meeting that means ensuring users see themselves reflected —not just in our product— but the world it allows them to imagine with us. That means reflecting the dynamism and diversity of our users, as much as possible, in the production of Babbel. We currently have 600 people from more than 50 nationalities working in our Berlin and New York offices, challenging and learning from each other at every step. A culture of difference and dignity is critical to how we’ve connected with millions of users, in every hemisphere.


We are looking for a (Senior) Product Data Scientist to join our Data Analytics Team in Berlin!


Our Analytics Team is committed to helping their many internal stakeholders make daily calls on Product initiatives. Our fast moving business relies heavily on the support of insight-driven decision making. You can help the team of data scientists and their stakeholders evaluate features and product performance. You will also shape the role of data science at Babbel, e.g. by organising (and participating in) hackathons, reading groups, or brown bag sessions.


You will:


  • Design and analyse hypothesis-based A/B experiments and foster data-driven decision making in the organisation
  • Perform prescriptive and model-based data analyses that drive business and functional decisions in Product
  • Shape and define the team’s workflows by developing and improving analysis standards and best practices
  • Mentor and support your peers
  • Own the data chain from defining tracking and tracking standards to reporting and communicating insights based on event data
  • Design, implement and automate reports and analytics tools for our internal customers, to drive growth and optimise operational tasks
  • Provide an analytics perspective to discussions

You have:


  • At least four years data analysis experience, preferably for a digital product
  • A proven track record of creating analytics tools (e.g. dashboards, analysis automation)
  • In-depth experience designing and analysing A/B experiments
  • Strong technical skills with either Python or R
  • Proven experience working with SQL and relational database and distributed systems
  • Technical skills with console or terminal in OSX or Linux
  • In-depth knowledge of applied statistics
  • A strong business sense, and excellent data visualisation and presentation skills
  • Some initial leadership and mentoring experience
  • Fluency in English to navigate the international environment at Babbel

Nice to have:


  • Experience with Spark
  • General software engineering skills

Why Babbel?


Babbel is the world’s most successful language learning app. Work with us to make a real impact in the world, in a meaningful way. 


  • Work directly with our unique language learning data
  • Hackdays and technology brown-bags
  • A lively startup atmosphere with friendly working hours
  • Great company benefits (company bike, fresh fruits & drinks etc.)
  • Start-up mentality and attractive working environment in the heart of Berlin

Sounds good? We are looking forward to receiving your application! Check out our jobs pageour blog, and our techblog!

Benefit

Babbel bike

Babbel bike

free coffee, drinks & fruits

free coffee,...

german classes

german class...

in-house trainings

in-house tra...

international team

internationa...

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