Responsibilities
About the Team
The Marketing Data Science team, part of Marketing Insights & Analytics, is a critical business partner to Global Brand & Communications and Global Marketing. We bridge technical rigor with business strategy, delivering data science solutions that drive marketing efficiency and impact.
About the Role
You will join a team that is responsible for marketing revenue modeling, campaign measurement, and deep-dive analyses to uncover market opportunities. We focus on building, expanding, and automating data science capabilities, influencing top-line budget allocation and shaping TikTok's marketing strategy at scale.
Responsibilities
- Bridge technical expertise with business needs by designing scientifically
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rigorous experiments and translating complex findings into actionable
insights for non-technical stakeholders.
- Design, conduct, and analyze A/B experiments to optimize marketing
campaign performance and guide strategic decision-making.
- Develop and maintain reporting dashboards and data pipelines to improve
efficiency, enhance cross-organizational synergy, and streamline internal
workflows.
- Partner closely with marketing and cross-functional teams (research,
insights & analytics, product, operations) to improve internal tool alignment
and automation.
- Define and implement key marketing measurement frameworks, proactively
identifying opportunities to improve campaign effectiveness through data-
driven insights.
- Develop audience targeting strategies based on data science methodologies
to enhance marketing precision and impact.
- Develop knowledge of marketing strategy and experimentation best
practices to expand analytical capability and business impact.
- Support marketing research by applying advanced analytics to answer
critical business questions and uncover market opportunities.
- Influence stakeholders and drive impact without formal authority by
leveraging data-driven insights and strategic recommendations.
Qualifications
Minimum Qualifications
- Experience applying scalable analytics solutions in a marketing or growth-
related environment.
- Strong communication and presentation skills, with the ability to influence
decision-making.
- Experience working with cross-functional teams, including engineering and
product teams, to develop automated solutions.
Preferred Qualifications
- Familiarity with advanced marketing measurement techniques, such as
attribution modeling, incrementality testing, and meta-analysis.
- Strong expertise in hypothesis testing, A/B testing, and causal inference
methodologies.
- Proficiency in SQL and Python or R for data analysis and pipeline
development.
- Experience designing, maintaining, and optimizing reporting dashboards and
data pipelines.
- Proven ability to analyze metric movements, identify drivers, and derive
insights.
- Experience working with non-technical stakeholders, translating data
findings into strategic recommendations.