Data Scientist, Marketing Insights and Analytics

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.
  
  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.