Data Science Specialist

Job Description

Eaton is currently seeking a Data Science Specialist to join our team. This position is based at our Moon Township, Pennsylvania office. Relocation benefits are available for this position. 

Position Overview:

 

The Data Science Specialist 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. 

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.

 

In this function you will:

 
  • Develop advanced machine learning, data analytics, AI and optimization algorithms and apply them to create new intelligent devices, solutions and services for Eaton’s businesses

  • 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

  • Assist other engineering teams with their data science initiatives

 

When we embrace the different ideas, perspectives and backgrounds that make each of us unique, we — as individuals and as a company — are stronger.

 

Qualifications

Required (Basic) Qualifications:
  • Master’s degree from an accredited institution

  • 5+ years of experience in Data Science and Machine Learning

  • Must be able to work in the United States without corporate sponsorship now and within the future

Preferred qualifications:
  • PhD from an accredited institution

Position Criteria:
  • Excellent verbal and written communication skills including the ability to effectively explain technical concepts

  • Business acumen - ability to map business problems/opportunities to practical data science solutions

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.


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: North America – US/Puerto Rico
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?: Relocation from within hiring country only
Travel: Yes, 10 % of the Time