Data Scientist to Curate | Summer Internship 2021
Schibsted Sverige AB / Datajobb / Stockholm
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hela Sverige Visa alla jobb hos Schibsted Sverige AB i Stockholm Join us for the opportunity to become a key member in a cross-functional team, working on a central platform for automating and personalising frontpages across some of Scandinavia's largest publications, during our unique 6-8 week paid summer internship.
You will be placed at the heart and center of our Media Platform, working with data that determines the content and optimizes the frontpages on news sites, with millions of daily users across both desktop and mobile devices.
Curate sets out to revolutionize how we distribute the right content to the right user at the right time. It's as simple as that. In Curate you'll be part of a highly dedicated and competent cross-functional team with everything it needs to realize its mission, including skills within engineering, UX, product management, data analysis and data science/machine learning.
The team has proved the founding bet: that an automated frontpage can perform better than a manually curated one, and we are now in the process of scaling and improving the offering.
About the Curate team:
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Curate is serving an automated frontpage for some of Norway's and Sweden's largest newspapers, including Aftenposten, Bergens Tidende, Stavanger Aftenblad, Fædrelandsvennen and we are currently onboarding Aftonbladet
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Curate collaborates closely with Data Scientists, Engineers and Product Managers from most of Schibsted's Media Houses
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Our mission is "Serving the right content to the right user at the right time"
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We are a cross-functional team of 11 people across Stockholm, Oslo and Kraków
What you will do:
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You will work closely with our stakeholders and of course others in the Curate team. Engineers, Designers, Managers and Data Scientists alike.
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You will be given your own tasks and paired with a Staff Data Scientist who will mentor and support you through the whole internship period
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You will be able to use technologies you know in real-life projects and you will also play with technologies which are new to you
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You will work together with an experienced mix of people as well as get to know more about our product
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At the end of the internship period, we would love for you to present a summary of what you have done, learned, as well as suggest potential ideas and share your findings
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Have the opportunity to meet other interns in Schibsted
About you:
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Pursuing Master's degree in Data Science, Statistics, Machine learning, Computer Science and/or a related field
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You are a 4th-5th year student
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Experience in using Python, R and SQL as well as source control tools such as Git
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You're able to commit to a 6-8 week summer internship
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You have knowledge of statistical methods
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You want to experience data science work in a real world environment
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You have good English skills and are comfortable using it on a daily basis
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You are willing to learn and you have your own ideas which you would like to implement
For questions contact:
cecilia.bergerstahl@schibsted.com, Talent Acquisition Partner.
A background check is part of the recruitment process for the final candidate.
Product & Tech is responsible for product development in News Media. The unit consists of product managers, software engineers, UX experts, and user researchers. A big part of our work is developing joint technology platforms for Schibsted's news brands. These include platforms for content production and distribution, digital subscriptions, and advertising. Most of our teams work distributed, with colleagues in Oslo, Stockholm, Krakow, Gdansk, Bergen, and Stavanger.
Varaktighet, arbetstid
Heltid Visstidsanställning under sommaren (Juni till Augusti)
Publiceringsdatum2020-12-22ErsättningFast månads- vecko- eller timlön
Så ansöker duSista dag att ansöka är 2021-02-05
Klicka på denna länk för att göra din ansökanFöretagSchibsted Sverige AB
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Schibsted Sverige AB (org.nr 556536-9500),
http://www.schibsted.com/ Arbetsplats Schibsted
Jobbnummer 5501980
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