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Data Scientist - Machine Learning Team

  • Applications are considered on a rolling basis
  • Stockholm
  • Applications are considered on a rolling basis
  • Stockholm

Schibsted is placing a major bet on machine learning. Whether it’s for our journalists, our editors, our advertising teams, our marketplace teams, our many growth companies, we want to use machine learning to make our people superhuman. We’re not in the business of replacing real people with machine learning - we’re in the business of making them more effective at a scale that would otherwise be impossible.

The vision of our Machine Learning team is to be the best at understanding content and embedding this knowledge in all of Schibsted products in order to increase their business value. We collaborate closely with product and engineering teams to build models and services that add value in terms of, e.g., increased relevance, automation, and personalization. We are now looking for a talented Data Scientist with experience in building machine learning systems that bring real value.

What you’ll do:

  • Contribute to analyze, design, build, train, evaluate, ship, and refine ML-driven products to solve real-world problems.
  • Collaborate closely with a cross-functional agile team spanning data science, product management, and engineering to build prototypes as well as production-ready solutions
  • Engage with internal stakeholders and end-users to better understand their needs, as well as explain, educate, and support them in ML matters

Who you are:

  • You are experienced in Python programming, probably also other languages
  • You have experience of building systems for model training and serving using, e.g., TensorFlow, Keras, or PyTorch
  • You have a deep understanding and genuine interest of AI and machine learning methods and algorithms, e.g., gradient-based optimization and neural networks
  • You have at least a Master's degree in Computer Science, Software Engineering, Applied Mathematics, or any quantitative field
  • The cloud is your friend. You have experience with AWS, Google Cloud, or any proprietary clouds
  • You have some knowledge of container-based architectures and microservices

Work with great people

Anniken Ore Larssen
Product Manager
"At Schibsted you meet people who cheer each other on, creating great products facing millions of consumers every day."
Larry Parker
Junior Developer
"I feel extremely inspired and fortunate to work with talented colleagues, many of whom had decided to return to Schibsted after a period of working elsewhere."
Stina Janson
UX Director
"Schibsted has the fantastic combination of having the strengths of a large organization and being a place for innovation, growth and new initiatives."
Eoin Falconer
Data Enabler
"Schibsted allows you to turn your passion, energy and expertise into real-world solutions that touch millions of users."

Great Place to Work

  • Learn and develop within Learning Lab

  • 5000 fantastic colleagues in over 4 countries

  • Empowering body and mind with Schibsted Life

  • Career opportunities within the Schibsted family

  • We embrace diversity

  • Work with products that matter in peoples lives

  • Personlig utveckling och lärande inom Learning Lab

  • Var del av en mångfaldig, inkluderande arbetsplats

  • Karriärmöjligheter inom Schibstedfamiljen

  • 5000 fantastiska kollegor i fyra länder

  • Schibsted Life erbjuder fysisk och mental träning

  • Jobba med välkända produkter och tjänster

  • Personlig utvikling og læring i Learning Lab

  • Bli del av mangfoldig, inkluderende arbeidsplass

  • Karrieremuligheter i Schibstedfamilien

  • Mer enn 4500 fantastiske kollegaer i 4 land

  • Styrke kropp og sinn med Schibsted Life

  • Jobb med anerkjente produkter og tjenester

About the company

Schibsted Data & Tech is a central product and tech unit that serves all of Schibsted. We are about 250+ people in Oslo, Stockholm and Krakow, and collaborate closely with other product and tech teams in all units in Schibsted. Areas of responsibilities include data & technology strategy, privacy/data trends/responsible data & machine learning, information security and internal IT.


1839Christian Schibsted
founds a Printing House.

1860Aftenposten is established,
 soon becoming a favoured
 and trusted media channel.

1966Schibsted acquires VG

1996Schibsted buys Aftonbladet,
 today the primary news source 
in Sweden.

1998Schibsted acquires Svenska Dagbladet, one of Sweden’s leading national quality newspapers.

2000Finn.no is founded.
 The marketplace has 
been enormously popular 
in Norway ever since.

2003Blocket is acquired. Today
 the number one marketplace 
in Sweden.

2005 – 2008Schibsted Growth 
starts investing in
 various digital brands.

2006The international expansion of 
Schibsted classified business is
 starting.

2009Fædrelandsvennen, Bergens Tidende and Stavanger Aftenblad are fully incorporated in Schibsted.

2009-2019Schibsted Growth expands the portfolio,
 by 2019 it consists of more than 20 brands.

2019Adevinta is listed at Oslo Børs. Schibsted’s international Marketplaces is spun off into a 
separate company.

1839Christian Schibsted grundar tryckeriet Schibsted Förlag

1860Aftenposten etableras och blir snabbt en prioriterad och betrodd mediekanal

1966Schibsted köper VG

1996Schibsted köper Aftonbladet, Sveriges primära nyhetskälla idag

1998Schibsted köper Svenska Dagbladet, en av Sveriges ledande nyhetstidningar

2000Finn.no grundas. Norges mest besökta marknadsplats.

2003Blocket förvärvas. Den dominerande marknadsplatsen i Sverige idag.

2005 - 2008Schibsted Growth börjar investera i digitala bolag

2006Den internationella expansionen av Schibsted Classified startar

2009Bergens Tidende, Stavanger Aftenblad och Fædrelandsvennen blir helt integrerade i Schibsted

2009 - 2019Schibsted Growth utökar portföljen som vid 2019 består av över 20 bolag

2019Adevinta listas på den norska börsen. Schibsted’s internationella marknadsplatser etableras som ett eget bolag.

Ioana Havsfrid | Hiring Manager

I'm interested
Schibsted

Stockholm
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