Engineer - Data Science

Job Description

If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun.  We are looking forward to an Engineer-Data Science based in Pune, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it’s in our values, part of our vision, and our clearly defined aspirational goals.  This exciting role offers opportunity to: 

  •  The Engineer (Data Science) 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.
  • 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 to build models while finding patterns in the data
  • Execute agile work plans for iterative and incremental project delivery
  • Work directly with project leaders and other relevant stake-holders to create high quality solutions that solve end-user problems
  • Evangelize data science work, principles, benefits, and best practices across the enterprise

Qualifications

Requirement:

  • Masters' degree in computer science or software engineering
  • 2+ years’ of progressive experience in developing and designing technology solutions
  • 1+ 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
  • Solid understanding of Python, R and associated tools (RStudio, pycharm, scikit-learn, numpy) with  a working knowledge of Python and/or C++ 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
  • Excellent verbal and written communication skills including the ability to effectively explain technical concepts
  • Abreast of upcoming data science tools, trends, and methodologies
  • Good judgment, time management, and decision-making skills

Yes! Because you are the one we are looking for, we hope to hear from you now!

#LI-AB1

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: Asia Pacific
Organization: INNOV Innovation Center

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