Lead Data Scientist

Job Description

Join Eaton and help us provide energy-efficient solutions that have a real impact on the environment. We make what matters work.  Do you want to work for a global player, where we care about ethics, inclusion and diversity and our people?


Our 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 are now recruiting a Lead Data Scientist to join our highly successful team. The candidate will demonstrate exceptional impact in delivering projects in the Data Science Team of the GCIP (Global Centre for Intelligent Power) by demonstrating extensive experience preparing big data infrastructures, integrating data from disparate systems, and cleansing data. In addition, presenting solid understanding of Python, R and associated tools (RStudio, pycharm, scikit-learn, numpy)


Your key deliverables:


  • 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
  • Explore data, ask the right questions, and provide compelling findings
  • Utilize a broad range of techniques in machine learning, data mining, statistics, and big data interrogation methods
  • Provide work estimates and participate in design and implementation reviews
  • Develop and execute agile work plans for iterative and incremental project delivery
  • Work directly with business stakeholders, engineering, and test to create high quality solutions that solve end-user problems
  • Evaluate business requirements to determine potential solutions
  • Evangelize data science work, principles, benefits, and best practices across the enterprise

Qualifications

Do you have?:


Required:

  • Master’s degree in computer science, software engineering, statistics, applied mathematics, engineering or physics
  • 6+ years’ of progressive experience in developing and designing technology solutions
  • 5+ years’ of practical data science experience in the application of statistics, machine learning, and analytic approaches with a proven track record of solving critical business problems and uncovering new business opportunities
  • Working knowledge of Python and/or C++ and associated IDE’s (Eclipse, IntelliJ, etc.)
  • Working knowledge of Hive (or similar language) to perform ad hoc queries of large datasets
  • Working knowledge of Linux and Windows operating systems and their associated development platforms
  • Ability to write complex queries that are accessible, secure, and perform in an optimized manner with an ability to output to different types of consumers and systems
  • Solid understanding of relational and non-relational database systems
  • Basic understanding of data visualization tools such as Power BI and/or Tableau
  • Experience with Agile development methodologies and concepts
    Abreast of upcoming data science tools, trends, and methodologies

Desired:

  • Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer’s problem area
  • Advanced degree and/or specialization in related discipline (e.g. machine learning)
  • Knowledge of Hadoop and MapReduce
  • Knowledge of cloud development platforms such as Azure or AWS and their associated data science capabilities
  • Experience with visualization techniques for communication of large data sets

Then we want hear about you!


What Eaton offers:

  • Full time contract in fast growing global company
  • Challenging projects in dynamic collaborative team
  • Culture & Values – We are more than the products we invent and produce – the way we do business is just as important. At Eaton, our values and culture define who we are – both individually and as an organization – and direct our activities every day
  • Inclusion & Diversity - Openness to diversity widens our access to the best talent. Inclusion allows us to engage that talent fully
  • Wellness - Wellness at Eaton is more than a program, it’s about changing the environment by offering the right tools to help empower employees to make that happen

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

#LI-MM2

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?: No
Does this position offer relocation?: No
Travel: Yes, 10 % of the Time