Data Science Manager – Consumer Engineering

Job not on LinkedIn

🕒 June 27

🇺🇸 United States – Remote

💵 $360k - $920k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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

• Lead a diverse team of talented, senior individual contributors who are experts in analytics and experimentation • Partner with software engineering leaders to optimize the Netflix streaming product • Scale access to insights and innovate on metrics and experimentation methodologies • Find new opportunities to apply high-impact science and analytics to Netflix challenges

🎯 Requirements

• Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics engineering and experimentation • Experience creating and fostering an inclusive team culture • Experience partnering with engineering teams or technically-leaning product teams • Demonstrated strength for applying statistics and experimentation to solve problems • Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact

🏖️ Benefits

• 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 • 35 days annually for paid time off for full-time hourly employees • Flexible time off for full-time salaried employees