PayPal Data Scientist Job Openings 2025 | WFH(Hybrid)

Qualifications

Expected Qualifications:

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

Preferred Qualification:

• 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.