Data Scientist, Ads Identity

Data Scientist, Ads Identity at Netflix

At Netflix, our mission is to entertain the world. We are building the next chapter by pushing the boundaries of storytelling, global fandom, and making the unimaginable a reality. Join our team, obsessed with merging creativity, intuition, and cutting-edge technology.

In April 2022, Netflix announced the creation of a new lower-priced, ad-supported tier. We are actively working to provide more consumer choice and a premium, better-than-linear TV brand experience for advertisers. We are now hiring founding data scientists for this rapidly evolving business area!

About the Ads Audience & Identity Science Team

Our goal within the Ads Audience & Identity Science team is to deepen our understanding of ad-tier members. This helps improve advertiser performance and ensures a great member experience. We continuously enhance ad targeting capabilities through identity modeling, machine learning, analytics, data exploration, and optimization. Our work encompasses feature engineering, modeling, lookalike algorithms, and optimization. We also provide modeling and analytics support for Netflix live content and integrations with third-party partners, always prioritizing privacy and data security. Our focus is on repeatable, scalable modeling for diverse current and future applications.

The Role

This Data Scientist (L5) position is dedicated to identity modeling for our ad-member base. Key areas include identity modeling, probabilistic matching, graph analytics, differential privacy, anonymization, and developing identity metrics.

Responsibilities

• 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, making compelling cases for prioritization.
• Diagnose data and model assumptions, curating and testing appropriate models for each dataset and business objective.
• Identify, compute, and validate 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, and consumer research.
• Effectively communicate findings and insights to both technical and non-technical audiences, driving adoption and understanding of ML-driven solutions.

Qualifications

• 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, statistics, optimization, and data analysis techniques.
• Experience in identity graphs, privacy, differential privacy, anonymization, and identity-related concepts.
• Strong business acumen and ability to translate technical results into business impact.
• Excellent communication and collaboration skills.
• Comfortable with ambiguity; able to thrive with minimal oversight and process.
• Prior experience in ad tech, streaming, technology, or consumer-facing products is a plus.

Compensation & Benefits

Netflix's compensation structure consists solely of an annual salary, without bonuses. You choose each year how much of your compensation you want in salary versus stock options. We rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation. The estimated range for this role is $372,000.00 - $600,000.00, which will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time salaried employees are immediately entitled to flexible time off. More details about our benefits are available on the Netflix website.

Netflix Culture & Diversity

Netflix offers a unique culture and environment. We value inclusion and strive to host a meaningful interview experience for all candidates. If you require an accommodation/adjustment for a disability or any other reason during the hiring process, please contact your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully, without discrimination based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Key skills/competency

• Data Science
• Machine Learning
• Identity Modeling
• Probabilistic Matching
• Graph Analytics
• Differential Privacy
• Anonymization
• SQL
• Python
• Large Scale Data