Overview In this role you apply advanced quantitative methods to demonstrate and improve TikTok's advertising effectiveness. You will develop reusable measurement solutions, collaborating with cross-functional teams to drive revenue growth for major advertisers. You'll operate at the intersection of analytics, sales, product, and marketing, turning bespoke analyses into scalable tools and frameworks. This position offers impact through causal measurement, experimentation, and AI-led analytics within a fast-paced, global environment.
Responsibilities- Apply rigorous statistical models and causal inference methods (experimentation, lift studies, attribution, and MMM) to campaign data to explain drivers of metrics
- Build and deploy production-ready analytical tools, models, and data applications in Python and/or R
- Collaborate with client-facing Measurement Partners to craft measurement strategies that support revenue growth for top advertisers
- Train and enable measurement teams on reporting frameworks and analytical solutions; inform measurement infrastructure and GTM strategies with cross-functional partners
Key requirements- Bachelor's degree in a quantitative field
- 5+ years of experience in data science, marketing science, or digital measurement with strong statistical modeling
- Proficiency in SQL and Python and/or R; experience building reusable analyses and dashboards in production
- Experience applying regression, decision trees, random forests, causal inference to large-scale datasets
- Strong communication skills to translate findings for technical and non-technical stakeholders
- Ability to work cross-functionally in a fast-paced, high-ambiguity environment
- strong communication
- cross-functional collaboration
- consultative mindset
- SQL
- Python
- R
