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 industry's 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.
