Data Scientist (PS)

Job Location

HYDERABAD TS PLANT

Job Description

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 meaningful 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 visible, 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'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership 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. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.

What we Offer: Continuous mentorship – you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment– employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.

Job Family Summary: The Specialty Engineering job family encompasses a range of roles that contribute to and execute strategies in the team or organization. These roles focus on specific tasks or segments within a brand, channel, line, category, or team with clearly defined objectives.

  

This role supports and assists in executing strategies in the team or organization. The Specialty Engineer will participate in the development and implementation of new ideas, techniques, procedures, services, or products under guidance. This role is typically involved in smaller, less complex projects with low to medium levels of innovation.

Overview of the job

Provides an ideal place to work on ground-breaking 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 productivity of all our systems while reducing cost and boosting sustainability.

Your team

This role reports to business Digital transformation leader. You will be working with project teams across Engineering, Manufacturing, Quality.

How success looks like

• Enabling savings every year on base budget as per the masterplan
• Delivering touchless automation/sustainability masterplan and reapplying across other regions

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 solve 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 experts and application developers to identify data relevant for analysis.
• Contribute 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 data pipelines for the hub-site 
• 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 enhance with data science to develop new solutions to reduce losses.

Job Qualifications

Role Requirements

• Bachelor's degree in Computer Science, Computer / Systems / Engineering, Business / Management Information Systems, Programming / Software Development, Operations Research or Statistics and want to build on this with continuous learning and bringing the “outside in”.  Experience in Manufacturing is a bonus.
• 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 maximize user experience and effective decision making
• Innovation Mindset – Ability to assess business operations and identify opportunities, then drive business 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.
• Proven ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
• Teamwork attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.

About us : We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000148944

Job Segmentation

Entry Level