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 the business useful 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.
What you will do: Perform Data science leadershipSynthesize problems into data question(s)Decide approach for data scienceDesign & perform data science experimentDevelop Data Science Infrastructure & ToolsConvert data into insightsAct in external relations You will bring: Theoretical Knowledge: Common and sophisticated Clustering algorithms including probability density and distribution basedConvolutional Neural networksRecurrent Neural NetworksGraph Neural NetworksBayesian based probabilistic graphical modelsDeep AutoencodersLatest machine reasoning techniquesReinforcement learningApplication of ML/AI: Clean clustering of high dimensional data with noiseApplication of autoencoders to high-dimensional dataApplication of GNN to high dimensional complex data structuresApplication of CNN to high-dimensional temporal dataApplication of RNN to high time series data for forecastingApplication of Bayesian dimensional networks for causal reasoningAuto learning of network structure from data for probabilistic graphical modelsFrameworks, Languages, & General skills: Strong programming skills in Python, ability to write object oriented and scalable codeJupyterHub and notebooksStrong skills in the use of current innovative machine learning frameworks such as Tensorflow, Keras, Scikit-learn, etc.Ability to handle large amounts of high dimensional data (knowledge of distributed data pipelines is a plus)Good data Visualization skillsAbility 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.
Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.
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