Senior Data Scientist – Causal Inference & Content Discovery

Website Netflix

Company: Netflix
Location: Remote, USA
Job Type: Full-time
Compensation: $372,000 – $600,000 annually + comprehensive benefits

Also See: AI Data Scientist

Entertain the World with Data and Discovery

Netflix is on a mission to entertain the world. We are pushing the boundaries of storytelling, global fandom, and technology. Our team is a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition, and cutting edge innovation. Come be a part of what is next

We are looking for a talented Senior Data Scientist with deep expertise in statistics and causal inference to join our Merch & Algo Performance team. This team focuses on maximizing member joy and engagement by improving how we distribute and promote titles across our platform. Your work will directly shape how millions of members discover and choose the content they will love

The Opportunity

In this role you will partner with business leaders responsible for content and product promotion as well as Product Engineering and AI for Member Systems teams. You will shape strategy and deliver impact through analytics experiments causal inference and ML/AI methods. The distribution and promotion of our content along with personalization are key to how members discover content. Your insights will be central to getting it right

What You Will Do

  • Leverage causal inference methods and statistically sound analyses to generate actionable insights and deepen our understanding of how product content and algorithms influence member discovery

  • Develop metrics and measurement approaches that are statistically and causally sound empowering stakeholders to make data driven decisions that deliver member joy

  • Establish deep collaborative relationships with team members and diverse stakeholders across the business becoming a trusted advisor and strategic partner

  • Ensure the team produces trustworthy high quality outputs that influence decisions and direction across a variety of areas at Netflix

  • Proactively analyze trends in content discovery to surface future opportunities and guide long term strategy

  • Work independently with minimal oversight driving your own projects from conception to completion

Who You Are

  • You hold an advanced degree in Statistics Mathematics Computer Science Economics or a related quantitative field

  • You have 5+ years of relevant experience in data science roles with a proven track record of impact

  • You are an exceptional communicator able to translate complex technical concepts for both technical and non technical audiences

  • You possess deep expertise in statistical analysis methods particularly causal inference statistical learning and experimentation

  • You have strong quantitative programming skills in Python and are adept at data manipulation in SQL

  • You thrive in ambiguity and are comfortable operating with minimal oversight and process in a fast paced environment

Why Join Netflix

  • Our structure consists of an annual salary with no bonuses You choose each year how much of your compensation you want in salary versus stock options The range for this role is $372,000 – $600,000 based on market indicators and your specific experience and skills

  • We offer comprehensive benefits including Health Plans Mental Health support a 401(k) Retirement Plan with employer match a Stock Option Program Disability Programs Health Savings and Flexible Spending Accounts Family forming benefits and Life and Serious Injury Benefits

  • Full time salaried employees are immediately entitled to flexible time off

Location This position is fully remote within the United States


Ready to help write the next episode of entertainment

If you are excited about using data to shape how the world discovers content we want to hear from you Netflix is a unique culture and environment Learn more about us and apply today

Apply Now Senior Data Scientist at Netflix

Netflix is an equal opportunity employer We celebrate diversity and recognize that diversity builds stronger teams We do not discriminate on the basis of race religion color ancestry national origin caste sex sexual orientation gender gender identity or expression age disability medical condition pregnancy genetic makeup marital status or military service

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