Director of Data Science, Ads Delivery & Performance

This role offers the opportunity to lead a high-impact data science organization focused on optimizing advertising delivery and performance across multiple digital surfaces.

Requirements

• MS or PhD in Computer Science, Statistics, Math, Engineering, Economics, or a related field, or equivalent practical experience.
• 10+ years of experience in Data Science, Algorithmic Engineering, or Machine Learning, with significant exposure to digital advertising or large-scale marketplaces.
• 5+ years managing data science organizations, including managers and multi-team structures in a technology company.
• Deep experience in statistical analysis, causal inference, experiment design, and measurement for complex marketplaces.
• Expertise in production analytics and large-scale data tooling (Python/R, SQL, Spark/Hive or equivalent).
• Applied ML or relevance/ranking systems experience; familiarity with auction dynamics, pacing, bidding, and quality/relevance modeling.
• Proven track record in defining and operationalizing input metrics tied to business outcomes.
• Excellent written and verbal communication; ability to influence senior cross-functional partners and executives.

Benefits

• Competitive salary ($233,302 – $480,328 USD) with eligibility for equity compensation.
• Flexible work arrangements with limited in-office collaboration 1–2 times per quarter.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plans and other financial wellness benefits.
• Opportunities for professional development, mentorship, and leadership growth.
• Inclusive and supportive workplace culture fostering equity and collaboration.