Software RPA Engineer

about the rolekey result / decision areas (outcomes)As an automation engineer you'll need to:Work closely with your business to identify issues and use data to propose solutions for effective decision making and drive business insightsMine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategiesMaintain clear and coherent communication, both verbal and written, to understand data needs and report resultsUse machine learning tools and statistical techniques to produce solutions to problemsAssess the effectiveness and accuracy of new data sources and data gathering techniquesUse predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomesDevelop custom data models and algorithms to apply to data setsDevelop processes and tools to monitor and analyse model performance and data accuracyPresent information using data visualization techniquesHorizon scan to stay up to date with latest technology, techniques and methodsConduct research from which you'll develop prototypes and proof of conceptsLook for opportunities to use insights/datasets/code/models across other functions in the organisationStay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your workabout youknowledge and abilitiesUnderstanding of OBS products, processes & tools and the associated organizationsOrganisation, co-ordination, communication, presentation, synthesis and reporting skillsOpen mind set, willing to discover new areas in a complex environmentClient focused with strong interpersonal skillsTeam player, used to work with different cultures and to work in a virtual matrix team environment.Ability to innovate and find improved ways of doing thingsExperience with process developments and optimizationStrong industrialization spiritGood understanding of the telecoms and IT industries.Integrating project work with Knowledge Management concepts and principlesAbility to work under pressureBusiness and financial orientationExcellent knowledge of written and spoken English languageExpert in MS office suiteHaving strong quantitative skills is a good base, but an interest in data and being able to solve problems logically and methodically are often bigger factorsExceptional communication skills, in order to explain your work to people who don't understand the mechanics behind data analysisgreat attention to detail and the ability to problem solveExperience in (or a willingness to get to grips with) database interrogation and analysis tools, such as Hadoop, SQL and SASStrong problem solving skills with an emphasis on product developmentExperience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data setsExperience working with and creating data architecturesKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacksKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applicationseducation, qualifications, and certificationsBatchelor degree or higher in statistics, math, computer science and economics (or other relevant area), or equivalent relevant experience with a demonstrable commitment to self-developmentITIL v3 foundation certificationFinancial background is a plusOptionnel: CMM/CMMI, PMP or PgMP or Prince2 or MSP (or internal PM certifications), Six Sigma certificationsExperience2-3 years of customer facing experience in the telecom or IT industryworking in and international environment with geographically distributed teams.developing, documenting and optimizing processescommunicating and reporting to senior management