Principal Data Scientist, Ads
Data & Analytics
WFA Digital Insight
As demand for paid media specialists continues to surge, Reddit's Principal Data Scientist role stands out for its focus on advanced quantitative methods and collaboration with cross-functional teams. With a 34% growth in demand for similar roles in 2025, candidates with expertise in statistics, econometrics, and machine learning are in high demand. Before applying, ensure you have a strong portfolio showcasing your ability to drive business impact through data-driven solutions.
Job Description
About the Role
Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform.Responsibilities
- Define the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning, and other quantitative methods to optimize Reddit's Ads marketplace.
- Partner closely with Analytics Engineering to ensure data systems support advanced analysis and modeling at scale.
- Collaborate with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization.
Requirements
- Expertise in statistics, econometrics, machine learning, and/or other quantitative methods.
- Ability to champion scientific rigor, causal inference, and economic modeling.
How to Stand Out
- Tip: Showcase your expertise in machine learning and data science with practical examples of how you've driven business impact in previous roles.
- Highlight your ability to collaborate with cross-functional teams, including Product, Engineering, and Business leaders.
- Ensure your portfolio includes examples of advanced quantitative methods and data-driven solutions.
- Prepare to discuss your approach to causal inference and economic modeling in the context of advertising platforms.
- Be ready to provide specific examples of how you've leveraged data systems to support advanced analysis and modeling at scale.
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