Applied Scientist II, Partner Science
Core
Design, build, and productionize ML/AI and econometric solutions to improve how advertisers find, work with, and succeed through partners.
Role type
Senior Applied Scientist (ML/AI & Causal Inference)
Builds
Production science models, A/B experiments, and Gen-AI applications for the Partner Network platform
Domain
Advertising technology, marketplace ecosystems, and partner lifecycle management
Deliverable
production ML models
Required skills
Predictive modeling, causal inference, LLMs/Gen-AI, large-scale data analysis, algorithm design, distributed computing, model deployment
Preferred skills
Propensity modeling, recommendation systems, A/B test design, AWS ML infrastructure, mentoring, scientific publications
Technologies
Python, Java, C++, SageMaker, S3, Redshift, Athena, Andes, Batch
Responsibilities
Design and run A/B experiments to validate science interventions; translate model outputs into business impact for stakeholders; contribute to model quality monitoring and data quality frameworks; mentor teammates and share knowledge
Seniority
Senior, hands-on IC