Data Scientist 5 – Ads Experimentation

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $372k - $600k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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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

• Design and execute rigorous experimental frameworks • Lead the transition from manual analysis to automated, scalable solutions integrated with the Netflix Experimentation Platform • Define best practices for trustworthy decision-making at scale • Advance and implement biddable media models and dynamically priced auctions • Develop strategies to optimize marketplace mechanics while balancing supply, demand, and member experience • Partner with Product and Engineering to solve cold-start measurement challenges • Scale the ad platform across diverse international markets • Act as a high-level consultant to Product, Strategy, and Engineering teams • Identify research opportunities, quantify potential business impact, and advocate for resource allocation • Cultivate partnerships with product, engineering, operations, design, and consumer research stakeholders • Deliver end-to-end solutions using causal inference, machine learning, and data exploration • Maintain high standards for documentation and reproducibility

🎯 Requirements

• MS or PhD in a quantitative field (e.g., Statistics, Economics, Mathematics) or equivalent practical experience • Significant experience with auction dynamics, yield management, or supply-demand matching within a marketplace setting • Mastery of causal inference and experimental design, with specific experience solving for interference and network effects in marketplace environments • Expert proficiency in Python or R • Advanced SQL • Ability to translate complex statistical results into actionable business narratives for stakeholders at all levels • Self-starter who thrives in an environment of radical transparency and high autonomy • Mentor and collaborator who prioritizes inclusion of diverse perspectives

🏖️ 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 for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off