PayPal Data Scientist Job Openings 2026 – WFH (Hybrid)

Qualifications

Expected Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor’s degree or equivalent experience.

• Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 2-3 years’ experience, or Master’s degree with 1-2 years’ experience in risk management, data science and/or loss forecasting, in the payments space or banking/finance services industry would be particularly desirable.
• Proficiency using SQL and querying relational databases
• Experience in at least one statistical programming language (SAS, R, Python)
• Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
• Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
• Experience with structuring analyses to solve business problems using data and analytics tools and techniques

Job Summary:

• This job will develop and implement data science models and algorithms to support business needs.
• You will work with stakeholders to understand data requirements and deliver solutions.
• Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.