Data Science Project Intern (Advertising Team) - 2026 Start (BS/MS)

Responsibilities

• Analyze Targeting Efficacy: Apply expertise in quantitative analysis to evaluate the performance of ads targeting logic and identify signal loss impact on advertiser outcomes.
• Privacy-First Measurement: Collaborate with Engineering and Product teams to design metrics and experiments that assess the trade-offs between targeting granularity and user privacy.
• Strategic Insights: Analyze large-scale datasets to extract insights on user consent rates, non-personalized ad inventory, and signal resilience, directly influencing the roadmap for privacy-safe monetization.
• Product Experimentation: Design and analyze A/B tests to validate new targeting features and privacy-enhancing technologies (PETs).
• Reporting & Monitoring: Develop dashboards to monitor the health of targeting systems and the stability of ad delivery in a changing regulatory environment.

Qualifications

• Currently pursuing a degree in a quantitative science field such as Math, Statistics, Engineering, or a related field.
• Proficiency in SQL and at least one scripting language (preferably R/Python).
• Experience in using data visualization tools.
• Experience with large data sets and distributed computing (Hive/Hadoop) is a plus.
• Proactive and independent in driving projects to completion with minimal guidance, including effective prioritization and time management skills.
• Excellent communication skills, capable of effectively presenting analysis results and working collaboratively across diverse teams.
• Strong curiosity; sensitive to data; good at extracting insights from data.