About this opportunityWithin the Solution Area Network Design and Optimization Software R&D, we offer the opportunity to collaborate with a highly qualified team all around the world and enable success stories for our customers. You will be working with groundbreaking technology (5G, ML/AI, Automation, Cloud computing, and Security) and will be involved in developing the software of tomorrow. Bring on a new career step for enthusiastic professionals who are ready to write the future with us.The Data Scientist will be 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 deliver useful insights to the business, 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 doDrive Data science leadershipSynthesize problems into data question(s)Decide approach for data scienceDesign & perform data science experimentsDevelop Data Science Infrastructure & ToolsConvert data into useful insightsAct in external relationsYou will bringTheoretical Knowledge:Common and advanced Clustering algorithms including probability density and distribution basedConvolutional Neural networksRecurrent Neural NetworksBayesian-based probabilistic graphical modelsDeep AutoencodersLatest machine reasoning techniquesReinforcement learningQuantum computingApplication of ML/AI:Clean clustering of high dimensional data with noiseApplication of autoencoders to high-dimensional dataApplication 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 modelsApplication of supervised and unsupervised techniquesFrameworks, Languages, & General skills:Deep experienced programming skills in Python, ability to write object-oriented and scalable codeJupyterHub and notebooksSolid skills in the use of current pioneering machine learning frameworks such as Tensorflow, Keras, scikit-learn, etc.Capable to handle large amounts of high dimensional data (knowledge of MapReduce or PySpark is a plus) on a daily basisExcellent 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 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.
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