P&G Company hiring for Data Scientist – Product Supply – 1-2 years Experienced Apply Fast Don’t Miiss

Job Description

Company Name :-

P&G Company

Designation / Position :-

Data Scientist - Product Supply

Type :-

Full -Time

Location :-

Andhra Pradesh, Andhra Pradesh, India
HONDA, GOA, India

About the comapny :-

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.

Qualification :-

Any Degree

Experience:-

Freshers

All Details:-

1. 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.
2. 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.
3. 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.
4. Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
5. Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
6. Experience in advance analytics, big data, machine learning.
7. 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
8. 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.
9. 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.

Key Details:-

1. Provides technical leadership in supporting OU innovation projects.
2. Acts as a key enabler in leading and delivering results against challenges.
3. Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
4. Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
5. 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
6. Work with process/equipment authorities and application developers to identify data relevant for analysis.
7. 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

Note :-

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.

Click here to apply

Click here to apply

Share with Friends/Family
Facebook
LinkedIn
WhatsApp
Email
Telegram

Leave a Reply