Engineer - Data Scientist

Job Description

Job Title: Data Scientist #072458

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 a Data Scientist, in Eaton India Innovation Center’s (EIIC), 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 is part of Eaton India Innovation Center (EIIC) within Eaton Research Labs (ERL). As a Data Scientist, you 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


Your essential responsibilities:

  • Derive, interpret and effectively deliver the results of data analysis

  • Understand traditional and new data analysis methods

  • Utilize a broad range of techniques in machine learning, data mining, statistics, and big data interrogation methods

  • 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

  • Assist other engineering teams with their data science initiatives



If you are:

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

  •  2+ years of progressive experience in developing and designing technology solutions

  • 2+ 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

  • Familiarity with Python, R, and /or other programming languages ( Java, Javascript, HTML, CSS, Visual Basic, MATLAB, .NET, Objective C/C++)

  • Basic understanding of data visualization tools such as Power BI and/or Tableau

  •  Excellent verbal and written communication skills and ability to quickly learn new domains

  •  Familiarity with machine learning libraries and frameworks such as (PyTorch, Tensorflow, etc.)

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

  • Experience with visualization techniques 

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

*We make what matters work.


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.  Need more about Eaton? Come on in @

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