About the Team: Join the TikTok Ads Targeting & Privacy Data Science team, a specialized group operating at the intersection of algorithmic efficiency and user protection. As the digital advertising landscape shifts toward a privacy-first era, our team is responsible for designing the next generation of targeting signals and privacy-preserving frameworks. We are dedicated to solving one of the industrys most complex challenges: How do we maximize advertiser ROI and personalization while rigorously protecting user privacy? We leverage advanced machine learning, causal inference, and differential privacy techniques to build resilient monetization products.
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
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.
Minimum 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.