PayPal Data Scientist 

France, Auvergne-Rhône-Alpes 

747849189

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