Data Scientist

Stockholm, SE
den 27 maj 2021
den 11 juni 2021
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we've made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

Our Exciting Opportunity

It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, (i.e. 5G networks), that will drive economic and social transformation for all aspects of society. Machine Learning (ML), Artificial Intelligence (AI) and overall Data-Driven technologies will be vital for us to handle this opportunity.

In the Product Development Unit for Converged Core we work with IP Multimedia Subsystem (IMS) core networks which provide Communication Services to people in wireless networks. These services range from Voice and Video (over 4G and 5G) to Emergency Calling and Enriched Messaging. Within the PDU CC Technology & Evolution department we have a newly established system team for Data Analytics where we aim to unleash the power of Data-Driven technologies such as AI and ML for a diverse set of applications. Our purpose is to create high impact at every step of the way, with focus on improving customer experience through an enhanced Data-Driven portfolio, as well as boosting our R&D internal efficiency.

As a Data Scientist you will be responsible for developing new intelligent applications around our IMS core products through applied research. You will get to work with best in class local team of subject matter experts to identify and work on next generation use cases and functions to drive innovation and industry disruption. You will also have the ability to influence and drive exciting, challenging projects. The ideal candidate will be a critical thinker who is passionate about building and deploying mathematical models for challenging problems.

You will

  • Develop scientific methods, processes, and systems to extract knowledge or actionable insights.
  • Develop prototypes and create cutting edge AI/ML applications for IMS and overall telecommunications industry.
  • Mine and analyze data from company databases to drive optimization and improvement of product development processes and business strategies.
  • Use predictive modeling to enhance customer experiences, as well as to identify revenue generation opportunities.
  • Assess the effectiveness of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets.
  • Report to Solution Design Manager

To be successful in the role you must have

  • MSc in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or related field.
  • 3+ years of professional experience in research, data science or engineering around building and operationalizing Machine Learning or statistical models.
  • Strong programming skills and strong understanding of data science and Machine Learning tools and frameworks (e.g. TensorFlow, PyTorch, Scikit Learn).
  • Knowledge to balance the considerations on resources, efficiency and footprint requirements when designing an intelligent solution or architecture.
  • Familiarity with Linux/OS X command line, version control software (git), and general agile software development.
  • Ability to explain sophisticated topics in straightforward terms.
  • Experience with fast prototyping.
  • Strong ambition to learn and implement current state of the art Machine Learning.
  • Strong attention to details.
  • The people skills required to work with data science teams, subject matter experts and stakeholders.

You might also have:

  • Knowledge in these specific technologies: Kafka, Prometheus, ElasticSearch, Spark, Hadoop, Kubernetes.
  • Experience working with both discriminative and generative models for time series data.
  • Telecommunications data and domain knowledge (IMS would be a plus).
  • Familiarity with AutoML and Machine Learning Lifecycle Management (experience with Dataiku's DSS would be a plus).

What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds - you will be redefining it! You won't develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless!

What happens once you apply?

To prepare yourself for next steps, please explore here:

Location for this role: Kista, Sweden
Recruiter: Sylwia Kwiecien

Please send in your application in English as soon as possible since the process is ongoing.

Kindly note that we cannot process applications sent via email.

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson's Code of Business Ethics.

Primary country and city: Sweden (SE) || || Stockholm || [[mfield2]]

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