The Research Scientist role at Netflix focuses on signal privacy, particularly in the context of ad targeting and optimization. This position is part of the Identity & Signals Science team, which aims to enhance understanding of ad-tier members to improve advertiser performance and member experience. The role involves applying machine learning and modeling techniques to address business challenges while ensuring privacy and data security. Candidates will work collaboratively with various stakeholders to influence product direction and enhance user experience.

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics, or a related quantitative field
• 5+ years of experience and high proficiency in SQL and Python
• 5+ years of experience with large scale data
• Deep knowledge of machine learning, statistical modeling, and data analysis techniques
• Experience with prototyping and deploying models using large-scale production data
• Strong business acumen and ability to translate technical results into business impact
• Excellent communication and collaboration skills
• Experience in privacy, differential privacy, anonymization, and identity-related concepts

• Apply modeling and machine learning techniques to business problems at the intersection of product and data science
• Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
• Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective
• Identify, compute and validate the appropriate metrics to measure success
• Deliver well-documented datasets, tools, and reports to key technical and business partners
• Serve as a strategic thought partner to product managers and business stakeholders, directly influencing product direction and improving user experience
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
• Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.