Staff Data Scientist

PayPal • San Jose, CA

3d • $176,500 - $262,350 • Hybrid

About The Position

PayPal is seeking a Staff Data Scientist to join the Venmo Marketing Data Science team and lead measurement and analytics for Paid Marketing. The role focuses on evaluating media effectiveness, identifying performance drivers, and optimizing marketing investments. The Staff Data Scientist will develop scalable measurement frameworks across marketing channels and campaigns, including incrementality testing, platform and geo-experimentation, attribution, and marketing mix modeling. They will translate complex data into actionable insights that guide audience, channel, budget, and campaign optimization decisions.

The position also involves leading data science projects, developing data models and algorithms, analyzing complex datasets, collaborating with cross-functional teams, and maintaining data quality. The role includes mentoring junior data scientists and independently leading complex analytical projects. PayPal’s balanced hybrid work model for the majority of employees involves three days in the office and two days at the employee’s choice of the office or home workspace.

Requirements

• 5+ years of relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
• Advanced proficiency in SQL for data extraction, transformation, and analysis.
• Strong experience with Python or R for statistical analysis, experimentation, causal inference, and predictive modeling.
• Hands-on experience with BI tools such as Tableau or Power BI for campaign performance tracking and visualization.
• Deep understanding of paid media measurement, including attribution, incrementality testing, geo-experimentation, marketing mix modeling, and ROI optimization.
• Experience measuring performance across major paid media platforms and channels.
• Experience developing scalable marketing measurement frameworks, analytical tools, or solutions from the ground up.
• Ability to translate complex analyses into clear insights and recommendations for technical and non-technical stakeholders.
• Strong communication and presentation skills, including experience influencing senior leaders and investment decisions.
• Strong collaboration skills and ability to partner across Paid Media, Marketing Strategy, Finance, Product, Engineering, and Analytics teams.
• Ability to independently lead complex analytical projects, identify measurement gaps, and recommend improvements to campaign and investment strategies.
• Proactive and adaptable approach, with the ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• 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.
• Lead measurement and analytics for Paid Marketing, evaluating media effectiveness, identifying performance drivers, and optimizing marketing investments.
• Develop scalable measurement frameworks across marketing channels and campaigns, including incrementality testing, platform and geo-experimentation, attribution, and marketing mix modeling.
• Translate analyses into actionable recommendations for audience, channel, budget, and campaign optimization.

Benefits

• Generous paid time off
• Healthcare coverage for employees and their families
• Resources to support financial security and mental health
• Annual performance bonus, equity, or other incentive compensation may be included, as applicable

What This Job Offers

• Job Type: Full-time
• Career Level: Senior