Research Scientist 5 - Ads, Identity Matching

Overview

Research Scientist role focused on identity modeling for advertising audiences, including probabilistic matching, differential privacy, and anonymization. The role applies machine learning and research to improve advertiser performance and member experience.

What you'll do

• Apply modeling and machine learning techniques to product and data science problems.
• Identify and pursue research with significant business impact.
• Diagnose data and model assumptions and select appropriate models.
• Define, compute, and validate success metrics.
• Deliver documented datasets, tools, and reports to technical and business partners.
• Influence product direction as a strategic thought partner.
• Communicate findings and ML insights to technical and non-technical audiences.

What you'll need

• 5+ years of experience.
• Advanced degree in Computer Science, Statistics, Economics, Applied Mathematics, or a related quantitative field.
• High proficiency in SQL and Python.
• 5+ years of experience with large-scale data.
• Deep knowledge of machine learning, statistical modeling, and data analysis.
• Experience prototyping and deploying models with large-scale production data.
• Experience with privacy, differential privacy, anonymization, or identity-related concepts.

Details

• Remote in the United States.
• Annual salary range: $466,000–$750,000 USD.