Data Scientist - Global AI Accelerator (280372)
Ericsson AB / Datajobb / Stockholm
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hela Sverige Position Summary:Ericsson is now looking for Data Scientists to significantly expand its Global AI Accelerator team.Do you have in depth understanding of ML and AI technologies?Do you want to apply and extend those skills to solve real world, complex problems with high societal impact; going beyond ML/AI for consumption and advertising?Then, you do want to join Ericsson's global team of Data Scientists pushing the technology frontiers to automate, simplify and add new value through large and complex data.You are a data scientist who gets inspired by large datasets, solving complex problems in a cross functional team of data scientists and subject matter experts. You like pushing the latest technology boundaries in the data science field. You have a few years' experience of applying machine learning in practice. In this role you will be applying machine learning in the telecommunications network domain. Exciting Opportunity:In the fifth-generation mobile networks 5G, AI technologies are an integral part of making the networks meet the new challenges and deliver performance that far exceeds networks of today. 5G networks with distributed edge compute, will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity.Already today, in order to create value from data in real time, we use several methods including reinforcement learning, deep learning, semantic reasoning and more conventional learning techniques. By using these technologies, we are able to maximize the output for each function in our highly distributed and decentralized networks making them more resilient, adaptive and optimized than has ever been possible before. Machine Learning and other AI technologies also allows us to fuel new innovation we can't imagine today.To even more accelerate this, we are setting up a Global AI Accelerator, to fast-track our strategy execution. Purpose of the Role:As a Data Scientist, you will need to have strong programming skills and deep understanding of data science and Machine Learning tools. Have proven experience in Data Science methodologies and how to apply them to solve challenging real-world problems as part of a highly dynamic and global team. You have strong communication, collaboration and planning skills. You will be working on high impact initiatives with other specialists in Machine Intelligence to drive growth and economic profitability for Ericsson and its customers by accelerating current Ericsson offerings as well create new offerings in the areas of MI driven 4G and 5G network, distributed cloud, IoT and other emerging businesses. Responsibilities & Tasks:Conduct functional and technical analysis within Ericsson organization and strategic customers to understand MI-driven business needs and opportunitiesContribute to rapid and iterative development of high quality ML/AI applications. This includes working with petabytes of 4G/5G-networks, IoT and exogenous data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical model, deep learning, reinforcement learning and other machine learning systemsConduct studies and find creative usage of new and/or existing data sources. Work with Data Architects to leverage existing data models and build new ones, as needed.Collaborate with product development teams and partners in Ericsson Businesses to industrialize machine learning models and solutions as part of Ericsson offerings including providing source code, workflows and documentsWork with new technologies and champion them in MI Communities within Ericsson.Assist MI Competence build-up in Ericsson Businesses and Customer Serving UnitsHelp to develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiativesEngage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI's needs Competencies:Strong skills in Machine Learning especially techniques such as Linear/Logistic Regression, Bagging, Bayesian model, Neural Networks, Random forest, Gradient boosting, Hyperparameter optimization techniques etc.Proven skills and track record (Github, open source etc.) in the use of current state of the art machine learning frameworks such as Keras, TensorFlow, Scikit-Learn, H2o, Spark etc. in developing ML/AI applicationsExperience of data wrangling and data munging, using Big Data technologiesStrong analytical skills and ability to acquire new knowledge and apply it in the job Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++Good communication skills in written and spoken English Creativity and ability to formulate problems and solve them independently Ability to develop and drive new ways of working, to produce deliverables in a more efficient way Minimum Qualification and Experience Requirements: MSc, or PhD in Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field (e.g. applied mathematics/statistics)1 to 3 years of real world or research experience in data science. Preferred Qualification and Experience Requirements: Experience with data visualization and dashboard creationCertifying MI MOOCS, a plusApplications/Domain-knowledge in Telecommunication and/or IoT, a plus.Ability to build and nurture internal and external communitiesExperience in writing and presenting white papers, journal articles and technical blogs on the resultsAbility to work in a collaborative environment, i.e., working with complex multiple stakeholder business units, global customers, technology and other ecosystem partners in a multi-culture, global matrix organization with sensitivity and persistence
Publiceringsdatum2019-05-16Så ansöker duSista dag att ansöka är 2019-05-30
Klicka på denna länk för att göra din ansökanFöretagEricsson AB
KontorsadressKistagången 6
Jobbnummer 4792004
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