PRIMARY FUNCTION: The Centre for Intelligent Power located at Eaton’s global headquarters in Dublin, applies data science to transform all aspects of our company. We’re working on solving the technical challenges of today’s digital world, while developing ground-breaking technology that’s going to power the next generation of futuristic products and services. We’re continuing to expand our organization and we are excited to announce that we are recruiting a Lead Data Scientist to join our Edge Intelligence team. The Lead Data Scientist will collaborate with Eaton product groups to develop new data-science based product features. The features will primarily address emergent use cases in the industrial and energy domains. The successful candidate will be expected to analyse requirements to drive the research and development of new data-science algorithms, encompassing advanced Digital Signal Processing and Machine Learning techniques. In addition, the candidate will be expected to understand and consider system constraints – especially constraints related to implementing algorithms on resource-constrained platforms ESSENTIAL FUNCTIONS: Engage with Eaton business units to define and evaluate opportunities for applying data science in their organisation, particularly for future product features. Drive the research and development of state-of-the-art data-science algorithms involving advanced Digital Signal Processing and Machine Learning techniques – including Deep Learning. Drive the research and development of high-quality, labelled datasets to support algorithm development – including the design of experiments Identify system constraints and incorporate into algorithm and dataset design and development Identify potential performance issues (Memory & CPU) and bottlenecks when implementing algorithms on resource-constrained platform(s). Plan projects and feature roadmaps, estimate time and resources required to complete projects; identify, and communicate solutions for blockers or other technical challenges experienced during project lifetimes Document and demonstrate solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments Mentor others in the use of our tools and techniques Stay abreast of relevant data science techniques, tools, and methodologies. Protect Intellectual property Ensure that functionality is usable, reusable, and extensible for data scientists across the enterprise Qualifications Qualifications Your essential skills we are looking for: Requires a minimum of a bachelor’s or higher degree(s) in computer science, computer engineering, electronic engineering, or other numerate degree. 5+ years’ of progressive involvement in the application of data science to solve real-world problems. Extensive practical experience across multiple projects of developing algorithms involving state-or-the-art AI techniques, including digital signal processing, and machine learning – including deep learning. Skilled in the disciplined application of data science to solve business problems - time-boxed exploratory research, track progress with respect to defined metrics, frequent stakeholder feedback 2+ years of experience implementing data science algorithms across distributed infrastructure including embedded environment(s). Proven ability to implement algorithms in software and optimise for algorithm implementations for deployment on resource constrained devices. Ability to analyse high-level requirements to plan data science initiatives and provide accurate estimates of delivery-time and resources required. Excellent MATLAB, Simulink, and Python skills. Experience in experimental design Experience in planning and executing data collection initiatives for dataset development Extensive awareness of data quality issues and practical experience of data cleaning. Experience working with Agile development methodologies and concepts. Excellent verbal and written communication skills including the ability to effectively explain technical concepts and solutions Strong communications and mentoring capabilities High comfort engaging with academic literature. Desired Expertise (in one or more of the following areas): Broad-based expertise in the IoT, Cyber-physical systems and edge computing Experience building and extending libraries to support software functionality needs of other roles Record of intellectual property generation and/or academic publications. Experience in optimising code, identifying bottlenecks, and maximising performance on constrained hardware. Ph.D in data science in energy or industrial application domain. Experience porting algorithms written in high level language such as Python and Matlab to C/C++ for deployment on embedded device. Automatic code generation experience What you will get from us Eaton’s mission is to improve the quality of life and the environment through the use of power management technologies and services. We provide sustainable solutions that help our customers effectively manage electrical, hydraulic and mechanical power – more safely, more efficiently and more reliably. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours. Eaton’s 2020 revenues were $17.9 billion, and we sell products to customers in more than 175 countries. We have approximately 85,000 employees. We make work exciting, engaging and meaningful for our employees through our dedication to tackling some of the toughest power management challenges on the planet and by never losing sight of what matters. 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 pledge to always foster a diverse and inclusive environment, including inclusion resource groups that bring together employees who share a common purpose, interest or background. In the past year, our company has received top employment recognition by the Human Rights Campaign and almost fifty percent of our Board of Directors represented diverse groups. When we embrace the different ideas, perspectives and backgrounds that make each of us unique, we — as individuals and as a company — are stronger. We have demonstrated our passion for sustainability with the recent announcement of cutting carbon emissions from the company’s operations by at least 50 percent by 2030. We are ethical, passionate, accountable, efficient, transparent and committed to learning. We are confident we can deliver on our promise to improve the quality of life and the environment because of the attributes that our employees embody. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Job: Engineering Region: Europe, Middle East, Africa Organization: Corporate Sector Job Level: Team Leader/Supervisor Schedule: Full-time Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No Does this position offer relocation?: No Travel: Yes, 10 % of the Time