Research Scientist - Ads, Identity Matching

In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. We are now hiring for the founding data scientists in this new business area for Netflix!

Our goal in the Ided Science team is to deepen our understanding of our ad-tier members, in order to improve advertiser performance and ensure a great member experience. We continually improve ad targeting capabilities through machine learning, analytics, data exploration, and optimization. Our work includes feature engineering, modeling, lookalike algorithms, and optimization. We also provide modeling and analytics support for Netflix live content and integrations with third-party partners, with a high priority on privacy and data security.

We focus on repeatable, scalable modeling for a variety of current and future applications.

This role is for a Research Scientist to focus on identity modeling for our ads audience, including identity modeling, probabilistic matching, differential privacy, and anonymization.

• 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.

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics, or related quantitative field
• 5+ years of experience and high proficiency in SQL, 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