DescriptionJoin our TeamAbout this opportunity: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 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 leadershipSynthesize problems into data question(s)Decide approach for data scienceDesign & perform data science experimentDevelop Data Science Infrastructure & ToolsConvert data into actionable insightsAct in external relationsThe skills you bring:Theoretical Knowledge:Common and advanced Clustering algorithms including probability density and distribution based.Convolutional Neural networks (CNN)Recurrent Neural Networks (RNN)TransformersGraph Neural Networks (GNN)Bayesian based probabilistic graphical modelsDeep AutoencodersLatest machine reasoning techniquesReinforcement learningGenerative AIApplication 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 state of the art machine learning frameworks such as PyTorch, 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 persistenceWhy 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.#J-18808-Ljbffr
