Applied Science Manager, Stores-Ads Science

Key job responsibilities

• Lead a team of scientists, setting the technical vision and science roadmap for ads impact measurement and optimization.
• Design experiments that identify the causal mechanisms through which advertising drives shopper engagement, advertiser value, and marketplace outcomes.
• Develop optimization algorithms that integrate these causal signals into production and business decision-making, in close partnership with engineering and product teams across the organization.
• Lead the research and communicate findings and recommendations to senior leadership through written narratives that connect technical science to business strategy.

Basic Qualifications

• 4+ years of applied research experience
• 3+ years of scientists or machine learning engineers management experience
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience programming in Java, C++, Python or related language

Preferred Qualifications

• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows