Senior Data Scientist

Job title:

Senior Data Scientist

Company

Eaton

Job description

Job Description: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.What you’ll do:Imagine being at the forefront of technology, working on innovative solutions that protect our forests and communities. If you’re ready to take on a challenge that combines your data science skills with a mission to save the environment, this is the role for you! We have a new exciting opportunity for a Senior Data Scientist who will directly contribute to a new project focusing on AI-powered innovation to help utilities strengthen wildfire prevention efforts. You will develop highly accurate, fast fault detection technology designed for grid-edge implementation on utility distribution lines.Your responsibilities will include but are not limited to:

• Driving the research and development of state-of-the-art data-science algorithms involving advanced Digital Signal Processing and Machine Learning techniques – including Deep Learning
• Validating and commercialising AI and machine learning solutions leading to successful delivery to Eaton businesses
• Analysing high-resolution waveform data using spectral analysis techniques
• Driving the research and development of high-quality, labelled datasets to support algorithm development – including the design of experiments
• Documenting and demonstrating solutions by using flowcharts, diagrams, code comments, code snippets, and performance instruments
• Ensuring that functionality is usable, reusable, and extensible for data scientists across the enterprise

Qualifications:

• Minimum of a Master’s Degree or higher in computer science, computer engineering, electronic engineering, or similar
• 5+ years involvement in the application of data science to solve real-world problems or 2 years+ following a PHD Degree
• Knowledge and experience creating practical signal processing and machine learning solutions for power systems, specifically related to time-series signal processing of electrical sensor measurement
• Highly skilled in the analysis of high-resolution waveform data using a wide range of analysis
• 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
• Python , Matlab or Simulink expertise is a must
• Extensive awareness of data quality issues and practical experience of data cleaning
• Broad-based expertise in the IoT, Cyber-physical systems and edge computing
• Experience in optimising code, identifying bottlenecks, and maximising performance on constrained hardware

Skills:

• Excellent verbal and written communication skills, including the ability to effectively explain technical concepts and solutions
• High comfort engaging with academic literature

What we offer:

• Competitive compensation and benefits package including Pension, Health Insurance, Wellness scheme, and more
• Challenging projects in a dynamic, collaborative team
• We make your aspirations matter – Eaton encourages internal promotion whenever possible
• 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

We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.

Expected salary

Location

Dublin

Job date

Sun, 30 Mar 2025 00:00:07 GMT

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