At Netflix, our mission is to entertain the world. We’re continuously shaping the future of storytelling and global fandom by combining creativity, intuition, and advanced technology to bring bold ideas to life. Our teams thrive on curiosity and experimentation, pushing boundaries to discover what’s possible when imagination meets cutting-edge innovation. Join us as we build what’s next in entertainment.

The Merchandising & Algorithm Performance team focuses on maximizing member satisfaction and engagement by improving how titles are distributed and promoted across the Netflix product. We’re seeking a Senior Data Scientist with strong expertise in statistics and causal inference to deepen our understanding of how content promotion strategies and personalization algorithms work together to drive content discovery.

In this role, you’ll partner closely with leaders across Content, Product, Engineering, and AI for Member Systems, along with other cross-functional stakeholders, to shape strategy and deliver meaningful impact through analytics, experimentation, causal inference, and machine learning.

What You’ll Do

• Apply causal inference techniques and rigorous statistical analysis to generate actionable insights on how product features, content promotion, and algorithms influence member discovery and engagement
  
  
• Develop robust metrics and measurement frameworks to support data-informed decision-making and product development focused on member delight
  
  
• Build strong partnerships with cross-functional teams and business stakeholders to align insights with strategy and execution
  
  
• Ensure high standards of data quality, trustworthiness, and analytical rigor in outputs that guide decision-making across multiple teams
  
  
• Proactively identify emerging trends in content discovery to uncover new opportunities
  
  
• Lead projects independently, taking ownership from problem framing through delivery
  
  

What You Bring

• Advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline
  
  
• 5+ years of experience in data science or related analytical roles
  
  
• Strong communication skills, with the ability to convey complex insights to both technical and non-technical audiences and build effective stakeholder relationships
  
  
• Deep expertise in statistical methods, particularly causal inference, experimentation, and statistical learning
  
  
• Proficiency in quantitative programming (e.g., Python) and data analysis using SQL
  
  
• Comfort working in ambiguous environments with minimal structure, demonstrating strong ownership and initiative
  
  

Compensation & Benefits

Netflix offers a unique compensation model built around top-of-market salaries. Employees choose how to allocate compensation between salary and stock options. Compensation is determined based on role, skills, experience, and market benchmarks. The salary range for this role is $372,000 – $600,000, depending on location.

Netflix provides comprehensive benefits, including health plans, mental health support, a 401(k) with employer match, stock options, disability coverage, HSAs and FSAs, family-forming benefits, and life and serious injury insurance. Full-time hourly employees accrue 35 days of paid time off annually, while full-time salaried employees have flexible time off from day one.

Culture, Inclusion & Equal Opportunity

Netflix is known for its distinctive culture focused on freedom, responsibility, and high performance. We are committed to creating an inclusive hiring experience and encourage candidates to request accommodations as needed during the interview process.

Netflix is an equal opportunity employer and celebrates diversity. We do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

This role will remain open for a minimum of seven days and will close once filled.