Job description

Help us enrich and transform Ericsson using data from our labs and customers' networks!

We believe that availability of data and data analysis will make a huge difference for Ericsson's future and our vision is to help taking the connected world further using data and machine intelligence.


Our Outstanding Opportunity

Digitalization is redefining the world, 5G is redefining telecommunication and AI & Machine Learning is redefining engineering. Ericsson is central in this transition and wants you to be part of the change.

Our Analytics team is now looking for a hardworking person within the Data Science area, who is interested in systemizing and developing solutions around state-of-the-art open source and commercial big data components, to join our growing team of analytics specialists and software engineers. Tapping into our massive product usage data sets, you will optimize our analytics platform and pipelines to harness our data, derive impactful insights to help guide the business with data.

Here at DSI Analytics, an integral part of Networks R&D, we collect, ingest, and archive vast amounts of data from Ericsson's labs and customers all over the world.

Our mission is to provide data and insights to the whole company in order drive speed and quality in our releases, and to act as enablers for Ericsson’s journey to automate the detection of customer telecom network performance deviations.


You will

  • Work closely with fellow Data Scientists, SW Developers and Data Engineers, as well as operations personnel, using microservice based architecture for data engineering, statistics, and machine intelligence to deliver insights to our users.
  • Deploy the software on our own Server Clusters in Ericsson's Global ICT Centers in Rosersberg, using bare metal machines, virtual machines as well as on-premise cloud native deployments.
  • Report to Line Manager of DSI Analytics

To be successful in the role you must have:

  • A Master’s degree in statistics, mathematics, computer science, engineering, or a similar quantitative field.
  • Solid understanding of Ericsson’s 3G/4G/5G Radio Network domain.
  • Experience of working with RAN performance analysis, troubleshooting, KPI monitoring & observability.
  • Possess an understanding of the theoretical foundations behind classical and recent statistical modeling techniques and machine learning.
  • Experience working with Python and/or R, and an understanding of the concepts behind cloud computing technologies.
  • Have worked in all phases of development, from gathering requirements, through systemization, development, quality assurance, release & delivery, and operations & maintenance
  • Knowledge of Jenkins, Git, Gerrit, Linux
  • An interest to constantly learn, communicate, interact, share information, and willingness to help others

The ideal candidate also has the following considerations:

  • Possess a curiosity about creativity and the ability to formulate problems and solve them independently.
  • Superb communication skills in written and spoken English.

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.


What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.


The selection and the interview process is ongoing. Therefore, send your application in English as soon as possible.

Location: Stockholm, Sweden


If you have any further questions, you are welcome to contact us.

Recruiter: Isha Vashishtha(isha.vashishtha@ericsson.com)


Kindly note we do not accept application send via e-mail.


We encourage the opportunity to meet you!

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.