Data Scientist (Statistical Research), Marketing Insights and Analytics
Los Angeles, California, United States
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
- Lead Marketing Mix Modeling (MMM) execution and adoption, ensuring methodological rigor and translating outputs into actionable marketing insights. Communicate the methodology with data science teams across different orgs, highlighting model advantages and limitations. Advocate for MMM’s role in budget allocation and campaign optimization.
- Ensure methodological rigor in vendor-led research, reviewing experimental design, statistical approaches, and validity of findings.
- Expand marketing data science capabilities, including:
- Incrementality Measurement: Develop and refine methodologies to assess marketing impact beyond standard A/B testing.
- Budget Optimization: Leverage MMM and experiment-based insights to inform media investment and marketing spend efficiency.
- Forecasting & Market Dynamics: Build predictive models for scenario planning and strategic marketing investment decisions.
- Influence cross-functional stakeholders (marketing, insights, product, engineering), driving alignment on data-driven marketing strategy.
- Advance causal inference methodologies in marketing measurement, including behavior and conversion lift studies (A/B testing with CUPED & DiD). Conduct meta-analyses to assess holistic A/B testing impact and drive strategic recommendations.
- Enhance automation & reporting, maintaining data pipelines, dashboards, and self-serve tools to streamline marketing analytics.
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
- Lead Marketing Mix Modeling (MMM) execution and adoption, ensuring methodological rigor and translating outputs into actionable marketing insights. Communicate the methodology with data science teams across different orgs, highlighting model advantages and limitations. Advocate for MMM’s role in budget allocation and campaign optimization.
- Ensure methodological rigor in vendor-led research, reviewing experimental design, statistical approaches, and validity of findings.
- Expand marketing data science capabilities, including:
- Incrementality Measurement: Develop and refine methodologies to assess marketing impact beyond standard A/B testing.
- Budget Optimization: Leverage MMM and experiment-based insights to inform media investment and marketing spend efficiency.
- Forecasting & Market Dynamics: Build predictive models for scenario planning and strategic marketing investment decisions.
- Influence cross-functional stakeholders (marketing, insights, product, engineering), driving alignment on data-driven marketing strategy.
- Advance causal inference methodologies in marketing measurement, including behavior and conversion lift studies (A/B testing with CUPED & DiD). Conduct meta-analyses to assess holistic A/B testing impact and drive strategic recommendations.
- Enhance automation & reporting, maintaining data pipelines, dashboards, and self-serve tools to streamline marketing analytics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
Data Science Jobs
Research Jobs
Tags: A/B testing Causal inference Data pipelines Engineering Pipelines Research Statistics Testing
Region:
North America
Country:
United States
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