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Eaton Corporation Data Science Manager in Pune, India

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 Science Manager - APAC Region in Eaton’s Sales and Marketing Centre Business, 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.

Data Science Manager is responsible for delivering tools and solutions for business analysis and strategic planning. This position requires excellent knowledge of statistics and mathematics to be utilized on databases and generate actionable insights for the business. You will work closely with senior leaders; designing and delivering key metrics and insights. This position also demands strong business acumen, stakeholder management and sound application of analytics concepts.

This position is a part of a team of analysts that supports Electrical Sector – Americas. Its primary responsibility is to identify opportunities, solve business problems and provide solutions using advance analytics through R, Python for data management, manipulation & statistical analysis. Lead these projects end to end. This position is also to provide statistical functional expertise to the Eaton business operations in the reporting and analysis of data related to sales and customers.

This exciting role offers opportunity to:

  • Work with key stakeholders to understand their data and metrics needs to ensure data integrity and most valuable and effective metrics.

  • Interprets data, identifies trends, and translates analysis into recommendations to improve effectiveness and support business strategy.

  • Develop a niche team of data scientist & analysts to provide actionable intelligence for Sales, Marketing and Product teams.

  • Proactively own, drive and manage standardization of data and platforms to build and share best practices for the field organization/ Senior Leaders.

  • Exceptional analytical thinking with experience working in a global environment.

  • Play a lead role on cross-department projects and present business cases and systemic solutions to higher-level management teams.

  • Understanding of Sales, marketing & digital data metrics would be added advantage.

  • Lead / Co-lead analytical projects from conceptualization to execution and partner with the business in implementation of the analysis for driving incremental sales and profits.

  • Identify and discover opportunities for utilizing advance analytics / Statistical methods and support in developing the competencies in the analytical team problem identification and problem solving

  • Ability to translate intelligence from data into business language with clearly articulating the approach, impacts and results – Sell Stories through presentations!

Qualifications

  • 8-10 years of relevant work experience in solving sales &marketing problems suing statistical techniques or advance analytics and preferably a master’s degree in Computer Science, Statistics, Mathematics or similar field.

  • Hands-on experience on machine learning techniques

  • Should have experience in unstructured data analysis, eg: Text mining, Sentiment analysis etc.

  • Should have delivered projects using ML techniques like K-mean, Random forest, linear and logistics regression and neural networks etc.

  • Good understanding of statistical analysis techniques and its applications to solve business problems using sales data such as correlation analysis, hypothesis testing, multivariate statistical analysis, time series techniques, attribution modelling. Strong experience on providing predictive modelling solutions.

  • Ability to leverage technology to solve analytical needs - SQL, R, Python and Power BI with working knowledge of Hadoop / Hive, SQL and NoSQL databases

  • Should be able to work with large datasets, measure results, identify impact and attribution, discovery, model and predict future performance.

  • Statistical and Mathematical Modeling knowledge

  • Strong analytical skills

  • Structured approach to Problem solving

  • Business proficiency in the following areas is required:

  • Strong business acumen

  • Understanding of sales cycle in Manufacturing Industry.

  • Good organizational and time management skills, strong analytical skills and the inter-personal skills to interact with all levels of management.

  • Highly motivated individual with excellent oral and written communication skills.

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

Job tag: *LI- JS1

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: Marketing

Region: Asia Pacific

Organization: Corporate Sector

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

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.

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