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Data Scientist, Marketing Insights and Analytics

TikTok
City of London, England
Full time
3 weeks ago
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
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.
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