Analyst(Data/ Business/ Application)

Senior Data Scientist

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 groundbreaking technology that’s going to power the next generation of futuristic products and services. Our multidisciplinary team of data scientists, data engineers and UX/UI designers are developing products based on AI, Edge computing and Machine learning.

We’re continuing to expand our organization and now recruiting a Data Scientist who is passionate about his or her craft. The Data Scientist 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.

Eaton is a power management company with 2020 sales of $17.9 billion. We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.

Your main responsibilities: 

  • Ddemonstrate exceptional impact in delivering multi-disciplinary projects in the Data Science Team
  • The ideal candidate will have experience in designing and training models, integrating data from disparate systems, cleaning data.
  • Hands on experience of working with Python and/or R and associated tools/IDE’s (e.g. TensorFlow, scikit-learn, numpy, pandas)
  • Derive, interpret and effectively deliver the results of data analysis using visualization techniques, tools, custom applications, or by narrating stories about the solutions to business problems
  • Understand traditional and new data analysis methods that can build statistical models and discover patterns in data
  • Work with business stakeholders and engineering teams, ask the right questions to create high quality solutions that solve end-user problems.
  • Utilize a range of techniques in artificial intelligence
  • Provide work estimates and participate in design and implementation reviews

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.


Your essential skills we are looking for:

  • Requires a minimum of a Master’s degree in computer science, software engineering, statistics, applied mathematics, engineering, physics or an equivalent field
  • 2-4+ years’ of progressive experience in developing and designing technology solutions
  • Minimum of 2 years of practical data science experience in the application of artificial intelligence, statistics, big data techniques and/or other analytics approaches
  • Hands-on experience of Python, R and/or similar programming languages
  • Experience designing and training models, integrating data from disparate systems, and cleaning data
  • Experience in the use of data visualization tools
  • Basic understanding of SQL and/or Hive (or similar language) to perform ad hoc queries of large datasets
  • Excellent verbal and written communication skills including the ability to effectively explain technical concepts


  • Advanced degree and/or specialization in related discipline (e.g. machine learning)
  • Knowledge of cloud development platforms such as Azure or AWS
  • Experience working with optimization algorithms to solve data rich real-world problems
  • Experience publishing in research conferences/journals and/or patents