Platform Engineering - Product Owner

Kimberly-Clark

Bengaluru, India
Hybrid
Platform engineering product owner role
Complex data science methods application
Big data analytics for business decisions
Kimberly-Clark is seeking a Platform Engineering Product Owner in Bengaluru to enhance its data science and analytics capabilities. The ideal candidate will focus on applying complex data methodologies to inform business decisions while fostering a culture of innovation, sustainability, and inclusion

Job Summary

  • The role focuses on creating and applying complex data science methods and big data analytics to inform business decisions and enhance product services.
  • You will utilize skills in Data Science, Data Modeling, and Data Strategy to develop scalable solutions for analyzing unstructured data sources.
  • Kimberly-Clark is an inclusive organization seeking diverse experiences to fuel the continued success of its enterprise while delivering better care for billions.

Matching Summary

Match Score: 85

Kimberly-Clark is seeking a Platform Engineering Product Owner in Bengaluru to enhance its data science and analytics capabilities. The ideal candidate will focus on applying complex data methodologies to inform business decisions while fostering a culture of innovation, sustainability, and inclusion.

Skills & Requirements

Must-have

  • Platform Engineering Product Owner role
  • Complex data science methods application
  • Big data analytics for business decisions
  • Data mining model design and methodology
  • Machine learning and advanced statistical methodologies
  • Databricks and deep learning tools implementation
  • Database administration and relational database management

Nice-to-have

  • Effective storytelling to stakeholders
  • Collaboration with product and service teams
  • Continuous skill development in data infrastructure
  • Innovation and growth mindset
  • Sustainability and inclusion focus

Key Requirements

  • Experience with Databricks and deep learning tools
  • Proficiency in Data Lakes and Data Warehousing solutions
  • Strong background in machine learning and statistical methodologies
  • Ability to perform research and troubleshooting for complex data challenges
  • Skills in conceptual data modeling and data ingestion workflows

Work Rights

Not specified

Tailored Resume

Cover Letter