Talent.com
Data Science Lead, Measurement Science

Data Science Lead, Measurement Science

Tik TokNew York, NY, United States
10 hours ago
Job type
  • Full-time
Job description

Responsibilities

About the Team : The TikTok Measurement-Research Data Science Team drives advertisers' behavioral change on TikTok through rigorous data science research in quantitative marketing, helping stakeholders make decisions using scientific approaches. The team conducts empirical and theoretical research, uses object-oriented programming for pipeline prototyping, and offers educational opportunities to the broader TikTok community. They are a research-focused team that values ideas and works closely with others through constant communication and brainstorming. The team is hosted within the larger Measurement - Research team that develops strategic knowledge across audience, full funnel, commerce, creative, search, and moments programs About the Role : 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. 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.

Qualifications

Minimum Qualifications : - 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. Preferred Qualifications : - 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.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $201000 - $395280 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses / incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates :

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment :

  • 1. Interacting and occasionally having unsupervised contact with internal / external clients and / or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

Create a job alert for this search

Data Science • New York, NY, United States