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Data Scientist

  • Application Deadline: May 25, 2022
  • Oslo
  • Application Deadline: May 25, 2022
  • Oslo

Do you want to join us in developing machine learning for one of the most visited websites in Norway? Are you passionate about building high quality software and take pride in your work? In that case, continue reading!

FINN.no is visited by more than 2 million unique visitors every week, and our marketplace is built and run by over 180 engineers. These engineers deploy production changes to our 850+ applications running in Kubernetes on Google Cloud Platform over 1800 times per week. We move fast and have a diverse and modern technology stack, which means we have many interesting engineering challenges.

We are looking for a Data Scientist to join our Data department. As part of a team of five Data Scientists you will help to develop our platform to enable other teams to leverage their own data science needs. You will also build upon our established models for, among others, recommendations, price prediction, image search and standing time. Additionally, you will work with other teams in Finn to identify machine learning possibilities, as well as building, testing and releasing models to production. The Data Science team is a social and inclusive team that is focused on sharing knowledge and supporting each other. We are always open for new ideas and strive to put good proposals into action.

Work with great people

Mathias J. Johansen
Utvikler FINN Reise
"Her er det takhøyde og muligheter til å utvikle deg etter dine egne behov og ønsker."
Siddise Hirpa
Utvikler A-caser
"Her får du både jobbet selvstendig og sammen med folk som inspirerer deg!"
Camilla Røhme
UX Architect
"Sammen skaper vi løsninger som hjelper og begeistrer!"
Anders Halvorsen
"Det beste med denne jobben er de gangene du føler at du faktisk hjelper noen med å løse et faktisk problem"

Skills & Requirements

Who are you?
The ideal candidate has experience working as a Data Scientist, enjoys working with big data and likes to proactively identify new possibilities with Machine Learning. You are passionate and someone who makes things happen and accepts responsibility for results. You cooperate well with others and gladly share knowledge and information, and you are skilled in understanding the needs of different groups.

Technical qualifications

  • You have at least a bachelor's degree in a quantitative field (e.g. Computer Science, Applied Mathematics, Physics or Statistics) or equivalent experience.
  • You have technical knowledge of AI and the practical application of ML-methods with experience of creating a wide variety of machine learning products, preferably both in small and large scale settings.
  • You have a deep understanding of machine learning and statistical modelling and are able to identify an appropriate model and how to utilise this model to the new domains and problems you encounter.
  • You have hands-on experience with a variety of modelling frameworks and data processing tools such as Pytorch, Scikit-learn, Tensorflow, Spark and Pandas. You also know the strengths and weaknesses of each tool and in which situation each tool is most useful.
  • You have experience in deploying models in production and understand the importance of tracking performance and continuous A/B-testing and improvement.
  • You should be able and enjoy introducing/teaching developers and product managers about machine learning.
  • Any exposure to Git, PostgreSQL, Kubernetes, GCP, Kafka, Python, Kotlin, Go, Java and the JVM platform would be an advantage.

Personal qualifications

  • You are motivated by engaging in a variety of tasks, depending on the needs within the team
  • You should have a genuine interest in our products and end-user needs
  • You display a high degree of effective, proactive communication, both verbally and in written form
  • You take responsibility for your work and reach out to support colleagues when needed
  • You are passionate about your area of work
  • You always consider what’s best for the company when making technology decisions
  • You are a natural and effective problem solver. This requires a solution oriented mindset, even in challenging situations
  • You are a team player and have a good culture fit with our team and company

What we can offer
We offer everyone at FINN varied and exciting tasks, and you will meet skilled colleagues in a warm and inclusive work-environment. None of us are fully trained, so you will always have opportunities for relevant competence-development. But the most important advantage of working at FINN is that you get to work with something that means something to a lot of people!

We offer competitive compensation and a bunch of cool benefits, like fun educational trips to build spirit and create good experiences (where more than 80% of our employees sign up), great cabins at Trysil and Aftenposten-subscription (paper/digital). We focus on our employees’ health with (among other things) weekly SATS training, improvement of cross-country skiing technique in the winter and massages in the office. We also enjoy inviting people home for educational evenings and ‘after work’ at FINN.

At FINN we believe in flexible working hours, a good work-life balance and the option to have home office 1-3 days a week.

More about FINN tech and the way we work
One of FINN's absolute strengths is that we have a strong in-house engineering community, with over 30 autonomous teams.

Developers in FINN have the competitive advantage of being able to quickly launch new products, redesign their portfolio, effortlessly release to production, scale deployments up and down, watch and search logs, and make dashboards.

We probably take some things for granted in FINN, but we are proud of the fact that we do a lot of the things other companies only talk about doing, like:

  • Be a 100% cloud-based company
  • Running all applications in Kubernetes
  • To effortlessly release 200 application changes to production every day
  • Having thousands of applications communicating near real time over a pub sub bus
  • “Going microservices”
  • Running a private bug bounty program

Are you interested?
You can apply by sending us your CV or the URL to your LinkedIn-profile and answering the questions in the application form.

Do you have questions about the role or the team? Please contact Greg Niklaus ([email protected])

Great Place to Work

  • Varierte og spennende arbeidsoppgaver

  • Dyktige kollegaer og et hyggelig arbeidsmiljø

  • Konkurransedyktige vilkår

  • Gode muligheter for kompetanseutvikling

  • Avis - Aftenposten hjem på døra og/eller digitalt

  • Fleksibel arbeidstid

  • Rabattavtaler gjennom FINN og Schibsted

  • Hybrid arbeidshverdag

About the company

In 2022, FINN turns 22 years old. During this time, almost every Norwegian has tested our service. Every year, every Norwegian spends an average of 30 hours on FINN, and in total, our users surf through more than 15 billion pages. Talk about an engaging gang! A career at FINN ensures you many good stories at a party. It’s a brand 96% of Norway's population knows, and our reputation is one of Norway's strongest. In FINN, we go to work every day to help people make smart choices for themselves and society.

FINN is owned by Schibsted and our more than 400 pleasant colleagues are located in Grensen in Oslo. As we have implemented a hybrid solution, some are working from home and some are working in our newly renovated office. We are proud that FINN has been named one of Norway's best workplaces for several years in a row in the Great Place to Work award. Those who know us know that we have a set of values ??that characterize us in everything we do: DRIVE, PRECISION, TOLERANCE, and SPIRIT.

Greg Niklaus | Contact Person

I'm interested