Research Scientist 5 – Ads, Identity Matching

🕒 August 10

🇺🇸 United States – Remote

💵 $466k - $750k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• 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 • 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 appropriate success metrics • Deliver well-documented datasets, tools, and reports to technical and business partners • Serve as a strategic thought partner to product managers and business stakeholders • Influence product direction and improve user experience • Cultivate partnerships with cross-functional stakeholders across product, engineering, operations, design, and consumer research • Communicate findings and insights to technical and non-technical audiences • Drive adoption and understanding of ML-driven solutions

🎯 Requirements

• 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 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 with privacy, differential privacy, anonymization, and identity-related concepts

🏖️ Benefits

• Annual salary with the option to choose the mix of salary versus stock options • 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