Netflix

2 months ago

Research Scientist 5, Signal Privacy - Ads DSE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Apply machine learning and modeling to improve Netflix’s ad-supported experience with a strong focus on signal privacy. Work in the Identity & Signals Science team to research differential privacy for third-party signals, privacy-enhanced targeting, ranking, and optimization, and privacy policy. Own the research lifecycle from diagnosing data and assumptions through metric definition and delivering well-documented datasets, tools, and reports that influence product direction.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 and advocate for prioritization and resources.
•Diagnose data and model assumptions, and curate and test appropriate models for each dataset and objective.
•Identify, compute, and validate metrics to measure success.
•Deliver well-documented datasets, tools, and reports to technical and business partners, influencing product direction and user experience.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Perks:Health Insurance401kEquityDisabilityPaid LeaveHsaLife Insurance

Key Requirements

•PhD or Master’s degree in Computer Science, Statistics, Economics, Applied Mathematics, or a related quantitative field.
•5+ years of experience with high proficiency in SQL and Python.
•5+ years of experience working with large-scale data.
•Deep knowledge of machine learning, statistical modeling, and data analysis techniques.
•Experience with privacy, differential privacy, anonymization, and identity-related concepts.

Experience:5+ yearsMachine learningPrivacyLarge-scale data

Education:PhD / Doctorate

Skills:CommunicationCollaborationBusiness acumenCross-functional partnership

Tech Stack:SQLPython

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

2 months ago

Research Scientist 5, Signal Privacy - Ads DSE

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key 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 and advocate for prioritization and resources.
•Diagnose data and model assumptions, and curate and test appropriate models for each dataset and objective.
•Identify, compute, and validate metrics to measure success.
•Deliver well-documented datasets, tools, and reports to technical and business partners, influencing product direction and user experience.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Perks:Health Insurance401kEquityDisabilityPaid LeaveHsaLife Insurance

Key Requirements

•PhD or Master’s degree in Computer Science, Statistics, Economics, Applied Mathematics, or a related quantitative field.
•5+ years of experience with high proficiency in SQL and Python.
•5+ years of experience working with large-scale data.
•Deep knowledge of machine learning, statistical modeling, and data analysis techniques.
•Experience with privacy, differential privacy, anonymization, and identity-related concepts.

Experience:5+ yearsMachine learningPrivacyLarge-scale data

Education:PhD / Doctorate

Skills:CommunicationCollaborationBusiness acumenCross-functional partnership

Tech Stack:SQLPython

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor