Product Data Scientist - Agentic AI at Procter & Gamble Company

Warsaw, Masovian Voivodeship, Poland

Procter & Gamble Company Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consumer Goods, Retail, Media, Supply Chain, R&DIndustries

Requirements

  • At least a Masters in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics), or Bachelor/Engineer degree with consecutive data science experience
  • At least 2 years experience with production grade Data Science / algorithmically enabled applications, with GenAI based solutions
  • Interest and preferably prior experience working on building tools for data scientists
  • Solid code writing capabilities - Python and Spark are preferable
  • Strong technical & analytical skills (optimization, simulation, predictive modeling, experimentation etc)
  • Knowledge of Cloud Infrastructure: Microsoft Azure, Google Cloud Platform, Kubernetes
  • Proven success in leadership, problem solving and prioritising
  • Strong collaboration skills and working comfortably across teams
  • Nice to have: Desired experience with Big Data ecosystem: Databricks, Spark, BigQuery
  • Nice to have: Basic understanding of Business Intelligence Tools such as PowerBI, Tableau
  • Nice to have: Experience with Agile DevOps, Github, Jira

Responsibilities

  • Partner with product teams and business leaders to fully understand Agentic AI use cases
  • Collaborate with data scientists across the world to understand their user experience with building agents
  • Develop your own insights to steer the Agentic AI framework evolution roadmap
  • Answer business questions and propose solutions for business problems by applying GenAI and Agentic AI techniques and models
  • Further develop understanding of machine learning, statistics, optimization, GenAI and other advanced analytical models – and how to apply to real world problems
  • Further learn what it takes to build and maintain resilient algorithmic and agentic pipelines which pass the test of time, and what it takes for an algorithm to materialize its impact and value
  • Write production grade code applying best practices
  • Own the development and direction of the Agentic AI framework together with AI Engineers, ensuring it addresses growing use cases and provides superior UX for data scientists

Skills

Data Science
Agentic AI
AI Frameworks
AI Engineering
Machine Learning
Python
Algorithm Development
Product Development
UX Design
Scalable Algorithms
Retail Analytics
Supply Chain Optimization
Digital Commerce
Knowledge Management

Procter & Gamble Company

About Procter & Gamble Company

N/AHeadquarters
N/AYear Founded
N/ACompany Stage

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