Statistical modelling and machine learning (239469)

The position includes the following activities and responsibilities:

Perform time series and count regression analyses on network data
Develop robust anomaly detection models by merging several different data types from customer networks
Use feature engineering to extract the best features for a problem and apply suitable regularization techniques for robust analysis
Use machine learning methods to produce insights from network performance and configuration data
Create new statistical models to correlate data from several different sources
Create quality software in R, Python, Java, Scala, or Matlab to access, process and analyze data
Breaking down business problems into statistical and machine learning problem formulations for actionable insights
Designing statistical experiments to evaluate and validate deployed statistical approaches

Do you have in-depth knowledge of mathematical and statistical modelling?

Do you want to join a team developing the automatic data analysis toolkit that is deployed both internally in the Ericsson RAN labs and used to analyse customer data?

Network Analysis is, to a large extent, currently a human activity, but our mission is to automate this by preparing information and finding patterns, anomalies and insights with data analysis techniques. Your objective will be to develop statistical and machine learning models based on customer network data in a big data platform.

Qualifications:
M.Sc., Ph.D. or equivalent competence in Statistics and/or machine learning

Competence:
Excellent competence in mathematics and statistics.
Competence in machine learning techniques and algorithms
Knowledge about big data platforms such as Hadoop, Spark, Kafka, Storm or Flink.
Competence in R, Python, Matlab, Java or Scala

Why is Ericsson a great 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.

At Ericsson, we give our employees the freedom to think big and navigate their career, on a global scale. We create technology that helps others, from helping people enjoy their favourite content to helping people recover from natural disasters by enabling better communications between rescue workers. Your ideas and innovations can turn into achievements that impact society and change the world, creating new connections, Join us and help build technology that makes it simple to connect with information, business, societies, and each other.