Research Scientist 5, Signal Privacy - Ads DSE

Netflix

Remote

Quick summary

Work type
Remote
Location
Los Gatos, CALos Angeles, CANew York, NY
Salary
$466,000–$750,000 / yr
Posted
10 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $172k
This role $608k
$52k most similar roles pay here $825k

This role pays more than 99% of similar roles. Most pay $126,800–$217,350 — the shaded band above. At the midpoint, this role pays about $608k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 117 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 113 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Research Scientist 5, Signal Privacy - Ads DSE

The Identity & Signals Science team at Netflix is seeking a Research Scientist to join its founding members as it develops a new ad-supported tier. This senior-level role involves applying machine learning techniques to solve complex business problems at the intersection of product and data science, with a focus on signal privacy. Day-to-day responsibilities include identifying research opportunities that have significant business impact, diagnosing data assumptions, curating models for datasets, validating metrics, and delivering well-documented tools and reports to technical and business partners. The ideal candidate has an advanced degree in a quantitative field, 5+ years of experience with SQL and Python, expertise in machine learning and statistical modeling, and knowledge of privacy concepts such as differential privacy. This role requires strong collaboration skills across various teams and the ability to communicate findings effectively to both technical and non-technical audiences.

What you'll do

  • Apply machine learning techniques to solve complex business problems at the intersection of product and data science.
  • Independently identify research opportunities with significant business impact and secure necessary resources.
  • Diagnose data issues, curate models, and validate metrics for success in ad-tier member understanding.
  • Develop privacy-enhanced technologies for ad targeting, ranking, and optimization while ensuring data security.
  • Serve as a strategic thought partner to influence product direction and enhance user experience.

What we're looking for

  • Advanced degree (PhD or Master’s) in a quantitative field like Computer Science or Statistics
  • 5+ years of experience with large-scale data and high proficiency in SQL and Python
  • Deep expertise in machine learning, statistical modeling, and data analysis techniques
  • Experience prototyping and deploying models using production data at scale
  • Strong understanding of privacy concepts including differential privacy and anonymization
  • Ability to translate technical results into significant business impact and influence product direction
  • Cultivate strategic partnerships with cross-functional teams for improved user experience

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