Job description

Passionate about Big Data? Do you have a significant role in funding independent digital media while working with the newest technology? Join our data science and advanced analytics team as an analyst!


Schibsted Marketing Services (SMS) is Schibsted´s Nordic advertising organization, representing some of the strongest brands across Norway and Sweden - like VG (Norways #1 online news site), Bergens Tidende, FINN (Norways #1 marketplace), Aftonbladet (Sweden #1 online news site), SvD, and Blocket (Sweden #1 marketplace). We have offices in Oslo, Stockholm, a significant development hub in Cracow, a growing hub in Gdansk, as well as several regional offices in Norway.

Advertising plays a central role in funding independent news media, and every day the people at Schibsted Marketing Services work hard to strengthen Schibsted´s position in the advertising markets we operate. Your work will make a difference in how well we succeed in funding independent digital media.


You will become a part of the advertising data science and advanced analytics team , comprising 5 data scientists and analysts.

Our daily endeavours encompass working on complex data products , including all stages of development. This involves building ETL pipelines , extracting insights from data , taking charge of our AWS infrastructure, and, from time to time, delving into the realm of CI/CD. We also maintain a close cooperation with the engineering team that manages the data infrastructure for advertising.

Moreover, our interactions extend beyond borders. Team members frequently engage with business developers and operations specialists located in our markets Norway and Sweden. This connection is instrumental in maintaining a close link to the business outcomes of our work.


As a part of the Ads Analytics team, your responsibilities will include:

  • developing complex data products to estimate the efficiency of marketing campaigns
  • conducting statistical analysis to provide actionable insights using Python and/or Spark
  • building and maintaining ETL pipelines which process billions of records
  • maintaining and enhancing the existing AWS infrastructure
  • writing ad hoc queries and complex programs
  • working on proof of concept of products for customers targeting and segmentation
  • mentoring less experienced team members


We are seeking a strong regular or early senior data scientist with extensive experience in processing large volumes of data. The perfect candidate should have a mix of technical & collaborative skills.

We are looking for someone who has :

  • At least 3 years of experience as a Data Scientist/Machine Learning Engineer/Data Engineer or in other relevant role
  • Strong knowledge of Python programming language (including OOP and unit testing)
  • Experience with processing large volumes of data through Spark
  • Proficiency in using Data Science methodologies (including Machine Learning ) to solve complex business problems
  • Knowledge of basic DevOps tools and methodologies (Docker, Kubernetes, CI/CD)
  • Familiarity with AWS (EMR, SageMaker, StepFunctions, S3, Lambda, CloudFormation)
  • Experience with version control systems (e.g. git)
  • High data storytelling skills
  • Some working experience with Airflow (would be a strong plus)


  • An opportunity to work in the undisputedly most competent ad team in EU/EEA
  • The opportunity to work up to three days per week from home
  • A welcoming office environment every day of the week
  • A professional and inspiring work environment
  • Competitive compensation and benefits package
  • Good opportunities for competence development

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

Similar jobs

Browse All Jobs
December 4, 2023
December 4, 2023

Full Stack Data Scientist

December 4, 2023