Data Science Manager – Promotional Media

Job not on LinkedIn

🕒 June 27

🏄 California – Remote

🏄 California – 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

• Oversee end-to-end causal inference, experimentation, analytics, and overall measurement of promotional strategies. • Partner with cross-functional teams to leverage insights generated from rigorous measurement frameworks to optimize promotion strategies and enhance member experience and value. • Lead, mentor and inspire a team of data scientists and analytics engineers to consistently deliver business impact. • Learn and innovate closely with world-renowned creatives, blending science and creativity. • Cultivate strong relationships with cross-functional partners to provide strategic insights, drive influence, execute complex initiatives, and support long-term technical visions.

🎯 Requirements

• Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments, meeting scalability requirements. • High proficiency in Causal Inference and standard tech stack (Python, SQL) • Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields • 6+ years of hands-on data science and analytics experiences (3+ years with a Ph.D. in relevant fields) with 2+ year of experiences mentoring and leading data scientists • Strong judgment and effective entrepreneurship in identifying and framing opportunities in greenfield areas • Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions • Passionate about the blend of art and science and excel at partnering with business and creative teams as much as you do with technical teams • Exceptional verbal and written communication skills with a wide variety of technical, business, and creative stakeholders.

🏖️ 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 • Full-time hourly employees accrue 35 days annually for paid time off • Full-time salaried employees are immediately entitled to flexible time off