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PayPal Sr Data Scientist 
France, Auvergne-Rhône-Alpes 
328478040

02.09.2025

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.


Essential Responsibilities:

  • Lead the development and implementation of advanced data science models.
  • Collaborate with stakeholders to understand requirements.
  • Drive best practices in data science.
  • Ensure data quality and integrity in all processes.
  • Mentor and guide junior data scientists.
  • Stay updated with the latest trends in data science.

Minimum Qualifications:

  • Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Technical Skillset:
Python, BigQuery, SQL, Pyspark
Ability to work with the AI tools (GPT, Gemini, Co-Pilot, Claude etc.) to automate processes and build efficiencies.

Exposure to building Gen-AI solutions using LLMs

• Regularly analyze large data sets to identify fraud patterns and implement necessary changes to the system

• Work on top of a state-of-the-art technology stack and together with a dedicated data science and engineering team to design and implement data driven solutions that operate at scale and in real-time

• Be a clear subject matter expert of Fraud protection platform as well as developing risk solutions in specific fields (banking, finance, eCommerce)

• Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders

• Collate feedback from clients and work with cross functional teams to recommend, design and implement new product features

• Work with engineering teams to ensure best practices are followed for product deployment and solution implementation

Our Benefits:

Any general requests for consideration of your skills, please