Research Scientist 5 – Ads, Identity Matching

Netflix

. Apply modeling and machine learning techniques to business problems at the intersection of product and data science .

Posted 10/12/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $466,000 - $750,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in applying machine learning and statistical modeling techniques to drive business impact, with strong proficiency in SQL and Python for data analysis and model deployment. Capable of effectively communicating complex findings to diverse stakeholders and fostering collaboration across cross-functional teams.

Highest-signal resume keywords

Machine LearningStatistical ModelingSQLPythonData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingData AnalysisSQLPythonPrototypingModel DeploymentLarge Scale DataMetrics ValidationData Curation

Soft Skills

CommunicationCollaborationBusiness Acumen

Certifications & Qualifications

Advanced Degree (PhD or Master’s) in Computer Science, Statistics, Economics, Applied Mathematics

Industry Keywords

PrivacyDifferential PrivacyAnonymizationIdentity-Related Concepts

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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, and other teams
Communicate findings and insights to technical and non-technical audiences, driving adoption and understanding of ML-driven solutions

Requirements

What you’ll need

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

Benefits

Comp & perks

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
Full-time salaried employees are immediately entitled to flexible time off