Job Location : Parsons,WV, USA
Provides deep specialist guidance and support in their specific specialties (e.g. artificial intelligence, robotic process automation, machine learning, etc., based on subject expertise)Supports the integration of solutions with various technologiesSupports and influences the technical activity (design, build, testing) in significant or complex innovation initiatives, accountable to the Innovation or Product Manager for the delivery and quality of technical deliverablesOperational effectiveness and efficiency Makes recommendations on how to improve the effectiveness, efficiency and delivery of services through the use of (emerging) technology and technical methods and methodologiesParticipates in the development of and/or review of standards, documentation and methods of working in the relevant area of expertisePerforms preliminary studies, general systems specifications and detailed systems specificationsEnsures solution operational readiness: defines global procedures and processes for operations in the area of expertiseEnsures IT Customer and Consumer requirements are met and service quality maintained when introducing new products. Considers the cost effectiveness of proposed solutionsResponsible for ensuring that all solutions within their technology area are delivered and maintained secure and compliant with internal standards and external regulations, including privacy requirementsUnderstands the business risk appetite and delivers applications within that acceptable risk levelWorks with IT Innovation managers, Product managers, Tech Leads, Solution Architects and Business Analysts as required to ensure any solution within their specific specialism fits with strategic and technical directionAssists others in resolving complex technical problems and investigating the root cause of problems and recommends smart (specific, measurable, achievable, realistic, timely) solutionsParticipates in peer reviews of deliverables and carries out formal and informal reviews of technical designs, standards, documentation and/or implementationsProvides guidance, directions and also, if needed, technical support to product teams, mentoring and sharing technology knowledge with the teams.Job Requirements:Bachelor's Degree in Computer Science, Engineering or Management of Information SystemsExperience in data visualization and statistical techniques and software (e.g., MS Power BI, R, Python, Open source) and cloud environments (AZURE, AWS, Google Cloud, etc.)Experience developing light analytical models to solve business problemsExperience in using machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neutral networks, deep learning, optimization, etcKnowledge of advance analytics project methodologies like CRISP-DM/ AglieFamiliarity with “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of this domainMinimum 5 years of experience in Data Engineering. Specialization in Azure, with expertise in Azure data tools such as ADF (Azure Data Factory) and ADX (Azure Data Explorer). Proficiency in designing scalable distributed systems using open-source and big data technologies.Type of Contract : Full-Time EmploymentKey Responsibilities:Provides deep specialist guidance and support in their specific specialties (e.g. artificial intelligence, robotic process automation, machine learning, etc., based on subject expertise)Supports the integration of solutions with various technologiesSupports and influences the technical activity (design, build, testing) in significant or complex innovation initiatives, accountable to the Innovation or Product Manager for the delivery and quality of technical deliverablesOperational effectiveness and efficiency Makes recommendations on how to improve the effectiveness, efficiency and delivery of services through the use of (emerging) technology and technical methods and methodologiesParticipates in the development of and/or review of standards, documentation and methods of working in the relevant area of expertisePerforms preliminary studies, general systems specifications and detailed systems specificationsEnsures solution operational readiness: defines global procedures and processes for operations in the area of expertiseEnsures IT Customer and Consumer requirements are met and service quality maintained when introducing new products. Considers the cost effectiveness of proposed solutionsResponsible for ensuring that all solutions within their technology area are delivered and maintained secure and compliant with internal standards and external regulations, including privacy requirementsUnderstands the business risk appetite and delivers applications within that acceptable risk levelWorks with IT Innovation managers, Product managers, Tech Leads, Solution Architects and Business Analysts as required to ensure any solution within their specific specialism fits with strategic and technical directionAssists others in resolving complex technical problems and investigating the root cause of problems and recommends smart (specific, measurable, achievable, realistic, timely) solutionsParticipates in peer reviews of deliverables and carries out formal and informal reviews of technical designs, standards, documentation and/or implementationsProvides guidance, directions and also, if needed, technical support to product teams, mentoring and sharing technology knowledge with the teams.Job Requirements:Bachelor's Degree in Computer Science, Engineering or Management of Information SystemsExperience in data visualization and statistical techniques and software (e.g., MS Power BI, R, Python, Open source) and cloud environments (AZURE, AWS, Google Cloud, etc.)Experience developing light analytical models to solve business problemsExperience in using machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neutral networks, deep learning, optimization, etcKnowledge of advance analytics project methodologies like CRISP-DM/ AglieFamiliarity with “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of this domainMinimum 5 years of experience in Data Engineering. Specialization in Azure, with expertise in Azure data tools such as ADF (Azure Data Factory) and ADX (Azure Data Explorer). Proficiency in designing scalable distributed systems using open-source and big data technologies.#J-18808-Ljbffr