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PayPal Data Scientist 
France, Auvergne-Rhône-Alpes 
747849189

18.08.2024

What you need to know about the role:


Your day to day:

  • Data Analysis and Decision Making:

    • Utilize large, complex datasets to drive improvements in authorization rates.

    • Employ advanced analytical and statistical techniques to identify trends, issues, and opportunities.

    • Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations.

  • Strategic Influence: Develop and present insights and strategic recommendations to Product and Data Science leadership. Influence product direction and strategic decisions through data-driven insights.

  • Collaboration and Communication: Work closely with cross-functional teams, including product development, engineering, and marketing to implement data-driven improvements. Occasionally collaborate with merchants to optimize their authorization processes. Mentor junior team members .

  • Innovation and Improvement: Lead initiatives to refine existing analytical processes and develop new approaches to business challenges. Promote a culture of continuous improvement and testing.

What do you need to bring:

  • 5+ years of experience in analyzing multi-dimensional datasets and creating actionable business solutions.

  • Strong educational background with a Bachelor’s/Master’s degree in Computer Science, Economics, Statistics, Mathematics, or a related quantitative discipline.

  • Expertise in SQL, Excel, and visualization tools such as Tableau or Qlikview. Proficiency in a statistical programming language like R or Python is preferred.

  • Demonstrable experience with big data technologies such as Teradata, Hadoop/Hive, and BigQuery.

  • Knowledge of Python, Jupyter Notebooks, and SQL.

  • Exceptional communication skills to effectively articulate insights and influence cross-functional teams.

  • Prior experience in performing data science to fuel insights to drive Product within a high-tech environment.

Personal Attributes:

  • A data-driven decision maker, passionate about solving complex problems using analytical solutions.

  • A self-starter who is motivated to take initiative and thrive in a fast-paced environment.

  • A fun-loving team player who brings energy and enthusiasm to the workplace.

  • Comfortable with ambiguity and uncertainty in a dynamic business landscape.

Our Benefits:

Any general requests for consideration of your skills, please