Would you like to make a difference to the environment? Do you want to work for a global and ethical company? Join us and help us provide energy-efficient solutions that make a real impact. We make what matters work. To find out more about us check: https://www.youtube.com/watch?v=baa_aiJ4L7E Our Centre for Intelligent Power applies data science to transform all aspects of our company. We are working on solving technical challenges of today’s digital world, and we are developing technology that is feeding into the next generation of our power management products and services. We’re continuing to expand our organisation and now recruiting a Data Science Lead who is passionate about his or her craft. The Data Science Lead will be directly involved in the application of statistics, machine learning, and analytic approaches to answer challenging business questions. This work will help businesses across the enterprise solve critical business problems, uncover new business opportunities, and turn their large volumes of data into valuable, actionable insights. Your main responsibilities: Researching, proposing, designing, and training models, integrating data from disparate systems, cleaning data. In addition, presenting solid understanding of Python and/or R and associated tools/IDE’s (e.g. TensorFlow, scikit-learn, numpy) Lead engagements and communications with business stakeholders and engineering teams, ask the right questions to create high quality solutions that solve end-user problems Utilize a broad range of techniques in machine learning, data mining, statistics, and big data interrogation methods and able to standardize best practices in team Define, plan, and provide roadmaps, work estimates and participate in design and implementation reviews Lead, develop and execute agile work plans for iterative and incremental project delivery Excellent verbal and written communication skills and ability to quickly learn new domains and communicate with business leaders and mentor more junior employees Qualifications Your essential skills we are looking for: 6+ years of practical data science experience in the application of statistics, machine learning, and analytic approaches with a proven track record of solving critical business problems and uncovering new business opportunities Experience in applying data science to Utilities or Power Systems use cases Extensive experience designing and training models, integrating data from disparate systems, and cleaning data Solid experience with prototyping/proof-of-concept development and stakeholder management Advanced experience of Python and/or R, associated tools (TensorFlow, pandas, scikit-learn, numpy) and IDEs (PyCharm, Eclipse, RStudio) Advanced understanding of cloud development platforms such as Azure or AWS and their associated data storage options Excellent communication (verbal, presentation, documentation) skills, working with teams that are geographically dispersed, to produce solutions that satisfy functional and non-functional requirements  Desired: Experience with Agile methodologies and have a track record of delivering products in a production environment Experience with patents and publishing in research conferences/journals. Experience leading projects or small teams Advanced degree and/or specialization in related discipline (e.g. machine learning) What we offer to you: Competitive compensation and benefits package Joining an AI and data science organization with more than 60 staff in the Dublin office, including AI and data scientists, engineers, and other specialists that work on the end-to-end creation and delivery of intelligent solutions to challenging power management applications Flexible working solutions (remote, flexible working hours, compressed week, part time etc.) We make your growth matter - We invest in our employees for the long term – not just with salary and benefits, but with ongoing learning and development opportunities made available through Eaton University Eaton is an intelligent power management company dedicated to improving the quality of life and protecting the environment for people everywhere. We are guided by our commitment to do business right, to operate sustainably and to help our customers manage power ─ today and well into the future. By capitalizing on the global growth trends of electrification and digitalization, we’re accelerating the planet’s transition to renewable energy, helping to solve the world’s most urgent power management challenges, and doing what’s best for our stakeholders and all of society. Founded in 1911, Eaton has been listed on the NYSE for nearly a century. We reported revenues of $19.6 billion in 2021 and serve customers in more than 170 countries. Our culture is built on a strong commitment to practicing our core values and supporting our employees with the tools they need to succeed. We have demonstrated our passion for sustainability with the announcement of cutting carbon emissions from the company’s operations by at least 50 percent by 2030. Eaton is committed to having a workforce that is diverse and non-discriminatory at all levels, reflecting the diversity of our customers and the varied environments in which we conduct business around the world. Our success depends on our ability to attract and retain the very best people unlimited by race, color, social or economic status, religion, national origin, marital status, age, disability, veteran status, sexual orientation, gender identity or any protected status. Eaton follows relevant non-discrimination laws and regulations in the countries where we operate. It is the policy of the Company to make all decisions regarding employment, including hiring, compensation, training, promotions, transfers, or lay-offs, based on the principle of equal employment opportunity as defined above. Job: Engineering Region: Europe, Middle East, Africa Organization: Corporate Sector Job Level: Individual Contributor Schedule: Full-time Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: Yes – Hybrid Does this position offer relocation?: No Travel: No