We’re currently seeking data scientists to work on Opera products, help drive product and business decisions and to make our users happier!

In our daily work we prepare systematic analyses, dashboards and ad hoc reports. We also develop ideas and create tools to automate the assessment of user satisfaction with Opera products. Beyond systematic and well-defined tasks, we look for less obvious ways to explore and assess the Opera ecosystem.


  • Designing and implementing data processing pipelines
  • Building dashboards and reports
  • Identifying, analyzing and interpreting trends and patterns in complex data sets
  • Developing prediction models using machine learning and statistical methods
  • Creating and performing tests, and analyzing data for useful insights

Minimum Qualifications:

  • Experience with quantitative analysis
  • Solid understanding of statistical analysis
  • Experience communicating analysis results
  • Applied statistics or experimentation (i.e. A/B testing) in real-life problems
  • Degree in either Math, Statistics, Computer Science, Physics, Engineering, or another technical field. Advanced degrees preferred
  • Experience in SQL and scripting language (Python)

Preferred Qualifications:

  • Experience working with large datasets in cloud-based analytics platforms like BigQuery or similar
  • Familiarity with Business Intelligence solutions like ChartIO or similar
  • Experience with e-commerce
  • Experience with an internet-based company