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 the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable. Are you ready to join?
What you will do:
Perform Data science leadership
Decide approach for data science
Develop Data Science Infrastructure & Tools
Convert data into actionable insights.
Act in external relations
The skills you bring:
Theoretical Knowledge:
Common and advanced Clustering algorithms including probability density and distribution based.
Transformers
Bayesian based probabilistic graphical models
Latest machine reasoning techniques
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
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)
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.
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