About this 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 build insights into data to provide to the business useful insights, identify trends, and measure performance that addresses 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
Perform 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 useful insights
Act in external relations
You will bring
Minimum 5 of years proven experience as Data Scientist
Theoretical Knowledge:
Common and advanced Clustering algorithms including probability density and distribution based
Convolutional Neural Networks
Recurrent Neural Networks
Bayesian-based probabilistic graphical models
Deep Autoencoders
The latest machine reasoning techniques
Reinforcement learning
Application of ML/AI:
Clean clustering of high dimensional data with noise
Application of autoencoders to high-dimensional data
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 Tensorflow, Keras, scikit-learn, etc.
Ability to handle large amounts of high dimensional data (knowledge of MapReduce or PySpark 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 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 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 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. Primary country and city: Egypt (EG) || Egypt : Cairo : Cairo || Egypt : Cairo : Smart Village Req ID: 656659
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