Senior Data Scientist (Ads Optimization)

Join our team as a Senior Data Scientist specializing in Ads Optimization. In this role, you will own the analytics and experimentation strategy for pacing, targeting, and related optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency. You will design and build intelligent pacing algorithms and budget allocation systems, lead end-to-end experimentation across optimization systems, and apply causal inference, statistical modeling, and ML techniques to optimize ad spend distribution. You will also present findings and strategic recommendations to leadership, serve as a thought leader in the Ads Optimization space, and collaborate with the Ads Product and Sales teams.

• Own the analytics and experimentation strategy for pacing, targeting, and related optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency.
• Design and build intelligent pacing algorithms and budget allocation systems grounded in adaptive control and model-predictive control techniques, deployed in high-throughput production environments.
• Lead end-to-end experimentation across optimization systems — designing experiment frameworks, diagnosing complex or conflicting signals, and translating results into clear, actionable recommendations for Product and Engineering leadership.

• Experience shipping optimization systems into production — not just research, but real measurement and iteration in live environments
• Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
• 6+ years of work experience in a data science or related field
• Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
• Proven experience in ads optimization at an ad tech company (e.g., Google, Meta, Amazon, TikTok, or equivalent), with hands-on work in pacing, targeting, budget allocation, or related systems
• Background in budget-constrained allocation methods, adaptive control, or model-predictive control in production systems
• Experience collaborating directly with an ads product or sales team, or with advertisers, to shape product and algorithmic priorities