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Data Scientist (NLP)

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At Storytel, we believe that powerful stories add an extra dimension to life. Storytel is Northern Europe's largest audiobook streaming service and we offer hundreds of thousands of audiobooks and e-books to customers in 19+ markets, with new markets launching in the near future. We are looking for a skilled and engaged Data Scientist to join our Intelligence team to build models to understand our content and help deliver the right content to our customers. Do you have a passion for data? Do you love working with text? Do you want to be part of a dynamic team in a fast growing company?

About the role 

A very important strategic area for us is turning books into insights in order to create the best possible customer experience. We are looking for a passionate and committed person to help achieve our goals within this area. 

As a Data Scientist at Storytel you will look at data with a mathematical mind-set. Through knowledge of machine learning and programming, you will uncover patterns in Storytel's data and make future predictions. You'll work closely with different business units to provide data-driven answers to complex strategic challenges.

What will you do?

  • Build and apply deep NLP models to categorise, tag, extract topics from, and understand our content, as the basis of recommendations, curation, and discovery.
  • Work on all stages of more general data science projects such as understanding the business problem, collecting data, building mathematical models, and producing insights to be used throughout Storytel
  • Have a key role in cross-functional projects aimed at understanding how to deliver a personalised experience to our book-loving customers, and feed insights to authors and publishers
  • Help grow the data-driven culture at Storytel

The Intelligence team

The Intelligence team is a global unit supporting all markets and functions. The team today consist of Business Analysts, Data Scientists and Data Engineers. We are building an analytical environment in and around Google Cloud Platform, where we strive for short and effective paths from data generation and storage to actions and decision making.

Your profile

We are looking for someone who has:

  • A master or higher degree in mathematics, statistics, engineering, computer science or similar field, with a background in Natural Language Processing, together with at least 2 years work experience in a similar position
  • Hands-on experience using modeling/development software (R or Python or similar) and appropriate NLP libraries
  • Excellent communication skills and the ability to work efficiently both independently and in various team formations
  • The ability to translate vaguely-defined business problems into machine learning solutions
  • The ability to adapt to changes in a fast growing company 

We offer you

Storytel offers an open, friendly, and professional work environment where new ideas and creativity is welcomed. We like doing things in new ways and questioning old methods. The Storytel culture – characterized by being welcoming and helpful – is important to us. We don’t believe in hierarchy and micromanagement, we highly believe in giving responsibility and having people grow alongside it. We are a company full of book-lovers who share that passion.

Good company culture is important to us at Storytel and we believe in, and focus on personal development. If you like to read more about us and our products please have a look at www.storytel.com.

Does this sound interesting? We would love to get your application today. Please write your cover letter and CV in English.

Usually responds within two weeks

Or, know someone who would be a perfect fit? Let them know!

Stockholm

Tryckerigatan 4
111 28 Stockholm Directions

Workplace

The Storytellers in 4 words?
Friendly, Welcoming, Helpful, Innovative.

Amount of coffee and tea cups per day?
Impossible to know, we like our hot beverages.

Number of orange headphones?
Thousands.

Times we celebrate?
Whenever we have something to celebrate. Which is quite often, we like to celebrate - preferably with cake. 

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