Översikt

Plats: Stockholm
Företag: Ericsson
Sista ansökningsdag: 2022-08-02
Länk: https://www.careerjet.se/jobad/sec3947dfc5b0fc1066492a05d2176e100

Om tjänsten

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.

About this opportunity

Predicting the future is essential. Inventing it is powerful. We do both.

Digitalization is redefining Ericsson and our products. GAIA – Ericsson’s Global AI Accelerator, is central in this transition and wants you to be part of the change.

The digitalization is happening now, and data science/engineering is revolutionizing technical solutions. In GAIA, new Artificial Intelligence (AI) and Machine Learning (ML) solutions are invented, and the best performing algorithms are developed. We have a central role and work towards strategic customers and together with many parts of Ericsson, such as Design Units, Customer units, Sales and Ericsson Research.

We are working with data pipelines and algorithms for all our products. In 5G networks, AI and ML are essential to deliver better performance than today and to utilize the potentials of edge compute. We are making our networks more resilient and adaptive through large and complex data. We are working with our internal efficiency for example through automated filter tuning in factories and network optimisation to ensure world leading performance in customer’s network.

Efficient data infrastructure is key to make it possible, which means there is a need for state-of-the-art data architectures and secure solutions over multiple data centers. Reinforcement learning, deep learning and more conventional learning techniques are in focus as well as re-designing of our company’s dataOps and assembling data sets that meet business requirements. Innovation and patents are key!

We are constantly improving our competence through the highly skilled data scientists and data engineers in GAIA together with radio experts throughout Ericsson. To be successful a mix of AI/ML and telecommunication product knowledge is key.

You will bring

  • MSc, or PhD in Computer Science, Information Systems, Machine Learning, Mathematics, Physics, or equivalent
  • 5 years’ experience in telecommunication, data science and/or data engineering.
  • Excellent communication skills in written and spoken English
  • Telecommunication product knowledge, such as algorithm development, SW/HW architectural design, or equivalent.
  • Machine Learning or optimization skills. Especially techniques such as Linear/Logistic Regression, Neural Networks, Hyperparameter optimization techniques etc.
  • Experience building ’big data’ data pipelines, architectures, and data sets.
  • AI/ML applications development skills through state-of-the-art frameworks such as Keras, TensorFlow, Scikit-Learn.
  • Experience using software/tools: Docker containers, orchestration systems such as Kubernetes, NoSQL databases, big data processing tools such as Hadoop and Spark, data stream tools such as Spark-Streaming and Kafka, Data pipeline tools such as Airflow.
  • Programming and scripting languages: Python, Java, C++, Scala, GO etc
  • Strong analytical skills and ability to acquire new knowledge
  • Leadership interest and skills.
  • Outgoing and easy to cooperate
  • Creativity and ability to formulate problems and solve them independently

Application

If you have specific questions you are welcome to email the recruiter Lisa Tsiaklides at lisa.tsiaklides@ercisson.com

The selection and interview process are ongoing. Therefore, send in your application in English as soon as possible. We encourage you to apply!

Location: Stockholm, Sweden

Kindly note that we do not accept applications sent via e-mail.

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

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that’s why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that’s why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, .

Primary country and city: Sweden (SE) || Sweden : Stockholm : Stockholm
Job details: Data Scientist (Techn) Job Stage: Job Stage 6
Primary Recruiter: Lisa Tsiaklides

Be where it begins

Welcome to an inclusive, global company where your opportunity to make an impact is endless. Share your most innovative ideas, bring your unique perspective and bring your unique perspective in a speak up environment. With us, you will no longer be dreaming of what the future holds – you can be the one who makes it possible.

Being a part of our team means having the flexibility to take your career in many different directions, but it also means leveraging the supportive structure of a big organization, with clear personal and professional development opportunities.

We believe that great accomplishments deserve great benefits and transparent rewards. We strive to offer competitive, unbiased, and fair rewards for all our people. We empower you to manage your own time and promote flexible working opportunities, along with family-friendly policies.

to find out more about our benefits.