Product Data Scientist

PayPal revolutionizes global commerce by providing innovative payment solutions connecting merchants and consumers in approximately 200 markets.
$72,700 - $176,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Finance

Description For Product Data Scientist

PayPal, a global leader in digital payments with over 25 years of experience, is seeking a Product Data Scientist to join their Global Analytics and Data Science team. This role focuses on optimizing PayPal's core payments platform through data-driven insights and solutions. The position offers an opportunity to work with cutting-edge technology and directly impact PayPal's payment solutions used by millions worldwide.

The role involves analyzing complex datasets to improve authorization rates, implementing advanced statistical techniques, and collaborating with cross-functional teams to drive product improvements. You'll be responsible for performing deep-dive analytics, including causal inference analysis, pre-post analysis, and financial projections. The position requires strong technical skills in Python, SQL, and big data technologies, combined with excellent communication abilities to influence product direction through data-driven insights.

PayPal offers a comprehensive benefits package including medical, dental, and vision insurance, equity, retirement benefits, and a flexible hybrid work model with 3 days in office and 2 days flexible. The company promotes a culture of inclusion, innovation, collaboration, and wellness, making it an ideal workplace for those passionate about using data science to revolutionize global commerce.

The role presents an excellent opportunity for experienced data scientists looking to make a significant impact in financial technology while working with a diverse, global team. You'll be part of PayPal's mission to democratize financial services and ensure everyone can participate in the global economy.

Last updated 8 days ago

Responsibilities For Product Data Scientist

  • Utilize large, complex datasets to drive improvements in authorization rates
  • Employ advanced analytical and statistical techniques
  • Perform deep-dive analytics including Causal Inference analysis
  • Develop and present insights to Product and Data Science leadership
  • Work closely with cross-functional teams
  • Mentor junior team members
  • Lead initiatives to refine existing analytical processes
  • Promote culture of continuous improvement and testing

Requirements For Product Data Scientist

Python
  • 5+ years of experience in analyzing multi-dimensional datasets
  • Bachelor's/Master's degree in Computer Science, Economics, Statistics, Mathematics, or related quantitative discipline
  • Expertise in SQL, Excel, and visualization tools (Tableau or Qlikview)
  • Proficiency in R or Python
  • Experience with big data technologies (Teradata, Hadoop/Hive, BigQuery)
  • Knowledge of Python, Jupyter Notebooks, and SQL
  • Exceptional communication skills
  • Prior experience in performing data science in a high-tech environment

Benefits For Product Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
Education Budget
  • Medical, dental, vision benefits
  • Annual performance bonus
  • Equity
  • Retirement and investment resources
  • 4-week sabbatical program
  • Educational benefits
  • Career development opportunities
  • Company-matched giving
  • Flexible work environment

Interested in this job?

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