P&G Direct Test For Freshers Data Scientist Role Everyone Apply Now Full Time

P&G Direct Test For Freshers Data Science Role Everyone Apply Now. This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers

About Company

With brands like Pampers, Ariel, Always, Gillette, and Oral B, Procter & Gamble is the biggest FMCG (fast-moving consumer goods) corporation in the world. We have been around for more than 180 years worldwide and more than 50 years in India. Three straightforward concepts—leadership, innovation, and citizenship—have allowed us to span three centuries. We have developed into a multinational corporation that is open and transparent, promotes charitable causes, and safeguards the environment thanks to the wisdom, creativity, and enthusiasm of diligent teams.

Job Overview

We are searching for a dedicated Data Scientist willing to make a difference on their career and take on new challenges at P&G’s Scaled Data Science team in India. You will work on high-impact issues in the areas of retail, media, digital commerce, supply chain, productivity, and knowledge management as a member of our worldwide community of more than 200 data scientists. Owning a business area, developing a thorough grasp of problems, and designing machine learning, deep learning, GenAI, optimization, and statistical models that provide quantifiable value for the organization are all part of this function.

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Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Responsibilities

• 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.

Qualification

• Bachelor’s in engineering/computer Sci
• Experience with Machine Learning Techniques
• Strong communication skills
• 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, Power BI, 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.

Tagged as: Azure, Matlab, ML, Python