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 has 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.
Dedication from Us:
You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. 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 centre, we value every individual and support initiatives, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Your team
This role reports to 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 masterplan
- Delivering touchless digital transformation masterplan and reapplying across the globe.
Responsibilities of the role (Product Supply Data Scientist)
- Provides technical leadership in supporting OU innovation projects.
- Acts as a key enabler in leading and delivering results against challenges.
- Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
- Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
- Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
- Work with process/equipment authorities and application developers to identify data relevant for analysis.
- Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
- Develop and maintain key data pipelines across selected sites globally
- Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
- Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
- Identify, diagnose, and resolve prognostics model performance issue.
- Leverage Reliability Engineering improve 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 and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
- Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, PowerBI, Tableau, and familiarity with functional programming and scripting languages, e.g., .NET, VB, C++, Python, Matlab.
- Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
- Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
- Experience in advance analytics, big data, machine learning.
- Experience in designing visualization to improve user experience and effective decision making
- Innovation Approach – Ability to assess business operations and find opportunities, then drive case
- Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
- Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
- IT Security & Risk – In touch with modern IT security risks and principles.
- Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
- Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
