Senior Data Scientists with a Background in Wireless Networks (542667)

Why is Ericsson a good place to work?
Ericsson enables communications service providers to capture the full value of connectivity. The company’s portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency, find new revenue streams, and create new user experiences. Ericsson’s investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world ensuring our solutions – and our customers – are at the forefront of innovation. We support networks that connect more than 2.5 billion subscribers. With over 100,000 employees and customers in 180 countries, we combine global scale with technology and service leadership. 40 percent of the world’s mobile traffic is carried over an Ericsson network. And, our Technology for Good and Connect to Learn programs include creating technology that makes it easier to save lives, feed societies, bring technology to emerging markets and connectivity to remote areas, and grow businesses and prosperity.
Senior Data Scientists with a background in wireless networks
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?
Our Exciting Opportunity
The Functional System team focuses on defining the radio functionalities, both as a node in Ericsson Radio System (ERS) and internal to the Radio, by systemizing functions for configuration, control, and compensation as well as supervision, report, and protection functions. Our scope spans from operation and maintenance and communication with the digital unit and the antenna system, as well as digging into the HW control system, HW near SW and compensation algorithms. In the team, we work in different technical areas to cover the total radio functionality. We work closely with HW design, SW design and different levels of the test within the whole Product Development Unit (PDU) Radio and towards other PDUs. Interest in conceptual work and systemization is a must, as well as the aim to actively interact with other parts of Ericsson to secure a complete and reliable radio solution.
For this position, we are looking for a new team member who will use analytics and machine learning (ML) to find opportunities that boost our radio products. Therefore, this position is expected to define the role of ML techniques in our radio functionalities, prototype new ideas, and mentor people and organization in the areas of ML and Analytics. Some examples of areas that the candidate will apply ML techniques to systemize new – or improve current - functions are Energy Efficiency, OAM, and Signal Processing, just to mention a few. Moreover, this position will conduct the implementation of a new ML Strategy aimed to transform PDU Radio into a data-drive organization.
You will
• Initiate studies, prototype, probe, investigate, and experiment by utilizing ML techniques in the area of radio functional systemization
• Conduct the implementation of PDU Radio ML Vision and Strategy
• Build networks with other data analytics profiles at Ericsson
• Mentor organization broadly to identify and utilize data in our product development
• Supervise studies within the ML area that will boost our product and make them even more attractive
• Contribute to building ML focus area at PDU Radio through networking, education, initiating and driving forums and Community of Practice (COP)
• Report to the Section Manager Radio Systemization
To be successful in the role you must have
• Masters or PhD degree in Data Science / Electrical Engineering / Engineering Physics / Data communication, or equivalent such as relevant working experience
• Relevant experience (> 3 years) from ML and/or data analytics
• Relevant experience (> 3 years) from Radio Engineering
• Genuine interest in understanding radio technology and product development
• Good knowledge of Python and/or R
• Experience of commercial platforms such as SAS, Tableau, Cloudera and Qlik
You have experience in system development, and you are interested in understanding how it all fits together to ensure an overall good solution. In addition to that, you are able to see the potential of data analytics to truly boost functional solutions. You know how to take complex problems and explain/describe them so that more people can understand and break them down such that solving them becomes straightforward. You are organized and self-motivated and able to turn ideas into concrete solutions. You have an interest in investigating, experimenting, describing the ideas and creating solutions as well as driving constant improvement of the same.
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: https://www.ericsson.com/en/careers/job-opportunities/hiring-process
Kindly note that we cannot process applications sent via email.
Please submit your application in English.
Hiring Manager: Section Manager Radio Systemization
Recruiter: Maria Plociennik, maria.plociennik@ericsson.com
Last day to apply: As soon as possible, since the process is ongoing.