About The Company
Procter & Gamble (P&G) was founded over 180 years ago as a simple soap and candle company. Today, we&aposre the world&aposs largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We&aposve 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 enterprise that is governed responsibly and ethically, committed to transparency, supporting good causes, and protecting the environment. Our company culture fosters a sense of pride and purpose, encouraging employees to contribute meaningfully to society while advancing their careers.
About The Role
The Product Supply Data Scientist role offers an exceptional opportunity to work on groundbreaking upstream improvements related to manufacturing and processing of our leading products. This position involves leveraging intelligent, connected technologies to drive the Fourth Industrial Revolution within our operations. The primary goal is to enhance system capabilities, safety, and efficiency while reducing costs and promoting sustainability. As a key member of the team, you will be instrumental in developing innovative data-driven solutions that optimize production processes, improve product quality, and support P&Gs commitment to responsible manufacturing.
Qualifications
To excel in this role, candidates should possess a strong background in data science, engineering, or related fields, with proven experience in manufacturing or process optimization. A bachelors degree in Engineering, Data Science, Computer Science, or a related discipline is required; a masters or higher degree is preferred. Candidates must demonstrate proficiency in data analysis, predictive modeling, and machine learning techniques, along with hands-on experience with data pipelines, analytics tools, and programming languages such as Python or R. Strong communication skills, the ability to work collaboratively across diverse teams, and a proactive approach to problem-solving are essential. Experience with Industry 4.0 technologies, IoT, and digital transformation initiatives will be considered advantageous.
Responsibilities
- Provide technical leadership in supporting operational unit innovation projects, ensuring alignment with strategic objectives.
- Act as a key enabler in leading and delivering results against manufacturing challenges by applying advanced data science methodologies.
- Collaborate with innovation teams to explore new platforms, machine control systems, data processing techniques, and analytics solutions, fostering capability development in others.
- Develop and plan analytic projects in response to business needs, utilizing data science tools to address complex process issues across regions.
- Create and implement new predictive and prescriptive modeling methods to build robust, fault-tolerant process control strategies aimed at reducing operational effort and enhancing product quality.
- Work closely with process and equipment authorities, as well as application developers, to identify relevant data for analysis and ensure its effective utilization.
- Partner with process and equipment owners, along with ITOT teams, to develop and evolve data models for analytical capabilities, owning data model maintenance and enhancements for the hub site.
- Design, develop, and maintain key data pipelines across selected global sites to enable continuous analytics and process improvements.
- Contribute to defining work processes for deploying and maintaining predictive analytics architectures, modeling standards, alarming systems, and reporting methodologies.
- Conduct external research to identify emerging trends and standards in analytical modeling, supporting P&Gs smart manufacturing initiatives.
- Diagnose and resolve issues related to prognostics model performance, ensuring reliability and accuracy of predictive insights.
- Leverage reliability engineering principles combined with data science to develop innovative solutions aimed at reducing operational losses and improving overall efficiency.
Benefits
Procter & Gamble offers a comprehensive benefits package designed to support our employees well-being and professional growth. This includes competitive compensation, health insurance, retirement plans, and paid time off. Employees have access to ongoing training and development programs, mentorship opportunities, and a dynamic work environment that encourages innovation and collaboration. P&G promotes work-life balance through flexible working arrangements and initiatives that foster personal and professional fulfillment. Additionally, employees are part of a global community committed to sustainability, diversity, and social responsibility, making a meaningful impact both within the company and in the wider society.Equal OpportunityProcter & Gamble is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other protected characteristic. Our hiring decisions are based solely on qualifications, experience, and the ability to contribute to our company&aposs success. We believe that diverse perspectives foster innovation and drive our continued growth and success.
