Staff Data Scientist
paypalSan Jose (CA)
About the role
Overview:
As Staff Data Scientist on the Venmo Marketing Data Science team, you will lead measurement and analytics for Paid Marketing, shaping how media is evaluated and investments optimized. You’ll build scalable measurement frameworks across channels, including incrementality testing and attribution, to guide budgeting and audience decisions. You translate complex data into actionable insights for cross-functional partners and senior stakeholders, driving ROI and marketing impact. This is an opportunity to influence how PayPal and Venmo allocate resources at scale while advancing a data-driven culture. Compensation / Benefits generous paid time off healthcare coverage for you and your family flexible work culture / hybrid work model equity or other incentive compensation (as applicable) annual performance bonus (as applicable) resources for financial security and mental health
Responsibilities:
Lead and manage data science projects aligned with business goals Develop and maintain data models, algorithms, and reporting systems Analyze complex datasets to identify trends and insights Collaborate with cross-functional teams to understand data needs Ensure data quality through audits and validation Mentor junior data scientists and promote continuous learning
Key requirements:
5+ years of relevant experience Bachelor’s degree Advanced SQL proficiency Experience with Python or R for statistical analysis and modeling Hands-on experience with BI tools (Tableau or Power BI) Deep understanding of paid media measurement (attribution, incrementality testing, geo-experimentation, MMM, ROI) Experience measuring performance across major paid media platforms and channels Ability to translate analyses into clear insights for technical and non-technical audiences Strong communication and presentation skills Strong collaboration and cross-functional partnering abilities Ability to independently lead complex analytical projects in a fast-paced environment Strong communication and presentation skills Cross-functional collaboration Proactive and adaptable mindset SQL for data extraction and analysis Python or R for statistical analysis and causal inference Tableau or Power BI for visualization
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