Job Description: Product Supply Data Scientist

Employment Type: Full-time Job Location: GOA PLANT

Position Overview

This role is at the core of ground-breaking upstream improvements related to the manufacturing and processing of P&G's leading products. It leverages intelligent, connected technologies driving the 4th industrial revolution. The aim is to ignite potential and equip individuals to enhance the capability, safety, and efficiency of all systems while reducing cost and boosting sustainability.

About P&G

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation, and citizenship. The insight, innovation, and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

What We Offer

• Continuous mentorship: Work with peers and receive both formal training as well as day-to-day mentoring from your manager.
• Multifaceted and encouraging work environment: Employees are at the center; we value every individual and support initiatives, promoting agility and work/life balance.
• Exciting opportunities: Be at the core of ground-breaking innovations, lead initiatives, and take charge and responsibility in creative workspaces where new insights thrive.
• Outstanding training: Receive training to help you become a leader in your field.

Your Team

This role reports to the Business Dry Laundry Global Platform Leader. You will be working with project teams across Engineering, Manufacturing, and Quality across the globe.

How Success Looks Like

• Enabling savings every year on base budget as per the master plan.
• Delivering the touchless digital transformation masterplan and reapplying it across the globe.

Responsibilities of the Role

• Provides technical leadership in supporting OU innovation projects.
• Acts as a key enabler in leading and delivering results against challenges.
• Works with innovation teams looking at new platforms, machine control, data processing, and analytics.
• Helps develop capability in others.
• Develops and plans required analytic projects in response to business needs.
• Leverages data science tools to tackle the toughest process problems in the region.
• Develops new analytics/predictive/prescriptive modeling methods and/or tools as required.
• Proposes prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality.
• Works with process/equipment authorities and application developers to identify data relevant for analysis.
• Supplies, together with process/equipment owners and ITOT, to the development and evolution of data models for analytical capabilities.
• Owns data model and maintenance and development for hub-site.
• Develops and maintains key data pipelines across selected sites globally.
• Contributes to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
• Conducts external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
• Identifies, diagnoses, and resolves prognostics model performance issues.
• Leverages Reliability Engineering with data science to develop new solutions to reduce losses.

Job Qualifications

Role Requirements:

• Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions.
• Strong familiarity with data preparation and processing.
• Strong analytical statistical...