Sr Data Scientist

PayPal PayPal · Fintech · New York, NY +1 · Data Science

Sr. Data Scientist at PayPal in New York, NY, focused on large-scale data mining and modeling to mitigate risk and improve customer experience. Responsibilities include extracting and analyzing data using SQL and Python, building reports and visualizations with tools like Tableau, identifying key metrics, ensuring data quality, and applying machine learning techniques. Requires a Master's degree and 3 years of experience, or a Bachelor's degree and 5 years of experience, with specific experience in data analysis, business optimization, and machine learning model development.

What you'd actually do

  1. Conduct large-scale data mining and modeling to transform raw data into actionable insights that help mitigate risk.
  2. Combine data modeling and insights to build a model and strategy that helps improve customer experience.
  3. Extract and analyze information from large structured and unstructured datasets using data-oriented programming languages such as SQL and Python.
  4. Build reports, visualize and summarize data findings, and draw interpretations for optimization of dispute processes using visualization software such as Tableau, Looker.
  5. Identify key metrics and drive the building of exec-facing dashboards to track the progress of the business and its highest-priority initiatives.

Skills

Required

  • Data mining
  • Data modeling
  • Risk mitigation
  • Customer experience optimization
  • SQL
  • Python
  • Tableau
  • Looker
  • Data analysis
  • Machine learning

Nice to have

  • Data quality assurance
  • Data visualization
  • Executive dashboard creation

What the JD emphasized

  • machine learning techniques to build machine learning models

Other signals

  • data mining
  • modeling
  • risk mitigation
  • customer experience
  • machine learning