The role involves developing scalable data science solutions and internal data products to support advertiser growth and business strategy. Responsibilities include designing statistical frameworks to evaluate business investments and building tools for sales teams. The position requires translating complex business problems into structured analytical approaches and delivering high-impact solutions. Collaboration with cross-functional teams is essential to ensure data-driven recommendations are effectively communicated. The work focuses on areas such as causal inference, experimentation, pricing, and optimization.

Candidates must possess at least four years of experience in a data science role and hold a degree in economics, statistics, or a related quantitative field. Required technical competencies include proficiency in Python and SQL, as well as experience with data pipelines and dashboard development. A strong foundation in causal inference and experimentation is necessary for building robust models. Additionally, the role requires the ability to work independently, translate ambiguous problems into structured solutions, and communicate complex concepts to non-technical stakeholders. Familiarity with AI tools and foundational knowledge of Large Language Models is also expected.