PayPal

Staff Data Scientist

PayPal

full-time

Posted on:

Location Type: Hybrid

Location: AustinCaliforniaTexasUnited States

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Salary

💰 $160,500 - $238,700 per year

Job Level

About the role

  • Lead and manage data science projects, ensuring timely delivery and alignment with business goals
  • Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making
  • Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives
  • Collaborate with cross-functional teams to understand data needs and provide actionable insights
  • Ensure data quality and integrity through regular audits and validation processes
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement

Requirements

  • 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
  • Experience in Analytics & Data Science, Data Engineering, ETL data pipelines, and BI Reporting, including A/B testing and advanced analytics — preferably in a fintech/banking Risk and Regulatory space
  • Experience working in Second Line of Defense, Financial Crimes, and customer protection areas is preferred
  • Demonstrated success partnering with Strategy, Business, and Product teams in domains such as fintech, banking, and payments to deliver impactful, data-driven insights
  • Proven ability to lead and manage analytics and data science projects end-to-end, from ideation to delivery, leveraging data modeling, machine learning algorithms, and advanced analytics techniques
  • Extensive experience analyzing high-volume, high-dimensional real-world data, with a focus on scalable solutions and measurable business outcomes
  • Advanced proficiency in SQL and Python, with expertise in extracting, processing, and generating actionable insights from large, complex datasets
  • Hands-on experience with modern data tools and platforms, including Jupyter Notebooks, BigQuery, Teradata, Hadoop, and Hive
  • Strong expertise in designing and building executive dashboards and impactful data visualizations using Tableau, Power BI, and Looker to drive data-informed decision-making at the leadership level
  • Exceptional communication and data storytelling skills, with the ability to translate complex analyses for both technical and non-technical audiences and influence cross-functional decisions
Benefits
  • Generous paid time off
  • Healthcare coverage for you and your family
  • Resources to create financial security and support your mental health
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data modelingmachine learning algorithmsadvanced analyticsSQLPythonETL data pipelinesA/B testingdata analysisdata visualizationreporting systems
Soft Skills
leadershipmentoringcommunicationcollaborationdata storytellingstrategic thinkingproblem-solvingcross-functional teamworkcontinuous learninginfluencing