Data Science Lead, Measurement Science

Tiktok • New York, NY

44d

About The Position

This role is not merely an application of Data Science; it is the leadership of Measurement Science as a distinct, specialized discipline. Your team will function as an internal research group responsible for the fundamental quantitative understanding of our business.

Requirements

• PhD in a Quantitative Discipline: Must be in Marketing Science, Economics, Statistics, Econometrics, Computer Science, or a closely related field that grounds the individual in the theory of causal inference and statistical modeling.
• 5+ years of professional experience (post-PhD) with a demonstrated focus on applying Ad Measurement and Marketing Science principles in a high-scale environment.
• 3+ years of experience as a people manager within a technical leadership role.
• Deep Expertise in Measurement & Monetization: Mastery of core concepts including MMM, attribution, lift testing, brand equity measurement, and price elasticity/optimization.
• Hands-on Technical Leadership: Expert proficiency in Python for data science and advanced statistical modeling, alongside expertise in working with large datasets via SQL and cloud environments.

Nice To Haves

• Prior experience leading a research function within the monetization or advertising science division of a major digital platform.
• Familiarity with the challenges and opportunities presented by short-form video content and algorithmic discovery in the context of ad effectiveness.
• Experience with Bayesian methodologies and their application to ad effectiveness and budget optimization problems.
• Exceptional Publication Track Record: Proven history of peer-reviewed academic publications in leading quantitative journals (e.g., Marketing Science, Management Science, AER, Journal of Econometrics, or top-tier ML/AI conferences), demonstrating the ability to conduct and disseminate original, rigorous research.

Responsibilities

• Driving Scientific Inquiry and Revenue:
• Define Foundational Measurement: Lead the research and implementation of Post-campaign measurement -including econometrics, causal modeling, and quasi-experimentation-to move beyond correlation and accurately quantify the incremental revenue (Lift) generated by all of TikTok's advertising products.
• Pioneer Research Agenda: Own the research roadmap for advanced measurement topics that directly underpin monetization: Marketing Mix Modeling (MMM), incrementality studies, creative measurement, and unified full-funnel measurement across online and offline channels.
• Advance Causal Inference: Apply and innovate within the domain of causal inference to address complex, non-experimental questions related to auction dynamics, content algorithm influence, and the long-term Customer Lifetime Value (LTV) impact of ad campaigns.
• Code and Collaborate: Serve as the technical authority and hands-on coder for the team, architecting and prototyping scalable models in languages like Python. Ensure scientific methods translate into robust, production-ready tools for the Monetization organization.
• Translate and Influence: Translate complex statistical outputs and academic findings into clear, pragmatic recommendations for executive leadership, directly shaping Monetization strategy and ad product development.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Broadcasting and Content Providers
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees