Senior Data Scientist

Location: Dublin, County Dublin

*** Mention DataYoshi when applying ***

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. Eaton’s 2020 revenues were $17.9 billion, and we sell products to customers in more than 175 countries. We have approximately 92,000 employees. For more information, visit

Do you want to work for a global company where promoting gender equality is central to our vision of creating a truly diverse and inclusive business ? Where everyone matters, and everyone belongs.

This role can be based can anywhere in the Dublin, Ireland. (No relocation)

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 organisation 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


  • The candidate will demonstrate 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 of 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
  • Comfortable working 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
  • Excellent verbal and written communication skills including the ability to effectively explain technical concepts.


Desired Qualifications

  • 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
  • The candidate must be a team player with excellent problem-solving skills


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

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 and every day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours.

Candidates applying to the vacancy may be subject to background screening.


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.

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.

Job: Engineering

Region: Europe, Middle East, Africa

Organization: CTO Corporate Technology Office

Job Level: Individual Contributor

Schedule: Full-time
Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: Yes
Does this position offer relocation?: No
Travel: Yes, 10 % of the Time

*** Mention DataYoshi when applying ***

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