This position reports to
Digital Lead - Regional
Your role and responsibilitiesIn this role, you will support the local unit on developing Asset Performance Management and Sustainability solutions, moreover will support projects execution of the won Projects.In particular, the Candidate will support the team in the predictive diagnostics of industrial rotating and non-rotating machines. For this purpose, the candidate must have basic knowledge of thermal and electrical machines, good data analysis skills, skills in the use of SW tools for statistical data manipulation and machine learning. The Candidate shall also know cloud solution and shall have experience in SW development. More in general, due to the type and vastity of the topics involved in APM sector, the problem-solving attitude is considered an essential requisite.The work model for the role is: #LI-HybridYou will be mainly accountable for:• Using data mining to extract information from datasets and identify correlations and patterns. Organizing and transforming information into comprehensible structures• Ability to evaluate statistical and machine learning data using a physical and not just mathematical approach. Using data to predict trends in the customer base and the consumer population as a whole• Performing statistical analysis of data. Using tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs• Preparing reports and presenting these to management or clients• Working closely with the business to identify issues and use data to propose solutions for effective decision making. Building algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues or customers • Using machine learning tools and statistical techniques to produce solutions to problems• Optimizing complex systems, e.g. optimal Energy Management of a production generation mix (renewables, storages, fossil sources and consumers)• Conducting research from which you'll develop prototypes and proof of concepts. Looking for opportunities to use insights/datasets/code/models across other functions in the organization You will join a talented team, where you will be able to thrive.
Qualifications for the roleYou are immersed highly skilled in in Data Analysis. Ability to demonstrate your experience in Data Science principles and techniques, R-programming, SQL, spreadsheets, You are passionate about problem solving, communication and teamworking. You are at ease communicating in Italian and English. Knowledge of further languages (French, Spanish, German) will be a plus. Availability to short / medium period business travels to perform on site commissioning activities. Following requirements are a nice to have: previous experience in automation or maintenance sectors; Statistical and Mathematical methods and tools for engineering; Thermodynamics, Thermal Machines and Electrical Machines. basic knowledge. Software Development experience on R, Python and SQL, Java, C/C++/C#, .Net or others. Cloud Computing. Optimization theory basic knowledge
What's in it for you?Bring your knowledge and expertise, make the difference in technologyGet exposed to cutting-edge technology in Process Automation and have a visible impact on the futurePlay a part in anticipating, sensing and responding to technology trendsBenefitsEmployee Assistance ProgramFlexible work practicesMeal allowanceMore about us
ABB Energy Industries is enabling safe, smart and sustainable projects and operations for businesses across the oil, gas, chemicals, life sciences, power generation and water sectors. Driving integrated solutions that automate, digitalize and electrify industry, we connect our people and technology to help our customers adapt and succeed. With over 50 years domain expertise, we continue to innovate and reshape traditional approaches across the energy sector with our technologies designed to improve operational efficiency, reduce risk, reduce energy consumption and waste.We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStoryFor further info: Gaia Pinto, Talent Partner