Our Exciting Opportunity
Responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide thought leadership, perform Advanced Statistical Analytics, and create insights into data to provide to the business actionable insights, identify trends, and measure performance to address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

What you will do:
•    Ensure data science leadership
•    Synthesize problems into data question(s)
•    Decide approach for data science
•    Design & perform data science experiments
•    Develop Data Science Infrastructure &Tools
•    Convert data into actionable insights
•    Act in external relations
 
To be successful in the role you must have:
 
Theoretical Knowledge:
•    Common and advanced clustering algorithms including probability density and distribution based
•    Convolutional Neural networks (CNN)
•    Recurrent Neural Networks (RNN)
•    Transformers
•    Graph Neural Networks (GNN)
•    Bayesian based probabilistic graphical models
•    Deep Autoencoders
•    Latest machine reasoning techniques
•    Reinforcement learning
•    Generative AI
 
 
Application of ML/AI:
•    Clean clustering of high dimensional data with noise
•    Application of autoencoders to high-dimensional data
•    Application of GNN to high dimensional complex data structures
•    Application of CNN to high-dimensional temporal data
•    Application of RNN to high- time series data for forecasting
•    Application of Bayesian dimensional networks for causal reasoning
•    Auto learning of network structure from data for probabilistic graphical models
 
Frameworks, Languages, & General skills:
•    Strong programming skills in Python, ability to write object oriented and scalable code
•    JupyterHub and notebooks
•    Strong skills in the use of current state of the art machine learning frameworks such as PyTorch, Tensorflow, Keras, scikit-learn, etc.
•    Ability to handle large amounts high dimensional data (knowledge of distributed data pipelines is a plus)
•    Good data visualization skills
•    Ability to work independently and be a self-starter with high energy, enthusiasm and persistence

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 solutions never seen before 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.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion 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 Employer. learn more.

Primary country and city: Spain (ES) || Madrid

Req ID: 757037