Eaton Corporation Data Scientist Specialist in Dublin, Ireland

Do you have?

Essential:

  • Master’s degree in computer science, software engineering, statistics, applied mathematics, engineering or physics

  • 3 to 5 years’ experience after Ph. D or 7+ years of industrial experience

  • Familiarity with Python, R, and/or other programming languages

  • Previous experience in developing and designing technology solutions

  • Practical applications or machine learning or statistics to diagnostics, prognostics, pattern detection, data mining, etc.

  • Knowledge of linear algebra, probability, calculus

Desirable:

  • Experience in Design Thinking or human-centered methods

  • Advanced degree and/or specialization in related discipline (e.g. machine learning)

  • Knowledge of big data platforms (Hadoop, Azure, etc.)

  • Experience preparing big data infrastructures, integrating data from disparate systems, and cleansing data

  • Experience with visualization techniques

  • Demonstrated ability to apply machine learning to large-scale industrial data

  • Familiarity with machine learning libraries and frameworks such as (scikit-learn, Tensorflow, Keras, etc.)

  • Excellent verbal and written communication skills and ability to quickly learn new domains and communicate with business leaders and mentor more junior employees

Then we want to hear about you!

What Eaton offers:

  • Competitive compensation and benefits package

  • Contract in fast growing global company

  • Challenging projects in dynamic collaborative team

  • Great promotional opportunities – We encourage internal promotion, whenever possible

Candidate applying to the vacancy will be subject of the background screening.

Qualifications

Do you have?

Essential:

  • Master’s degree in computer science, software engineering, statistics, applied mathematics, engineering or physics

  • 3 to 5 years’ experience after Ph. D or 7+ years of industrial experience

  • Familiarity with Python, R, and/or other programming languages

  • Previous experience in developing and designing technology solutions

  • Practical applications or machine learning or statistics to diagnostics, prognostics, pattern detection, data mining, etc.

  • Knowledge of linear algebra, probability, calculus

Desirable:

  • Experience in Design Thinking or human-centered methods

  • Advanced degree and/or specialization in related discipline (e.g. machine learning)

  • Knowledge of big data platforms (Hadoop, Azure, etc.)

  • Experience preparing big data infrastructures, integrating data from disparate systems, and cleansing data

  • Experience with visualization techniques

  • Demonstrated ability to apply machine learning to large-scale industrial data

  • Familiarity with machine learning libraries and frameworks such as (scikit-learn, Tensorflow, Keras, etc.)

  • Excellent verbal and written communication skills and ability to quickly learn new domains and communicate with business leaders and mentor more junior employees

Then we want to hear about you!

What Eaton offers:

  • Competitive compensation and benefits package

  • Contract in fast growing global company

  • Challenging projects in dynamic collaborative team

  • Great promotional opportunities – We encourage internal promotion, whenever possible

Candidate applying to the vacancy will be subject of the background screening.

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: 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?: Relocation from within hiring region only

Travel: Yes, 10 % of the Time

Eaton is an Equal Opportunity and Affirmative Action Employer. Eaton is 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.