Data Scientist 5, Ads Experimentation

Netflix

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Remote

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Work type
Remote
Location
New York, NY
Employment
Full-time
Posted
47 days ago
Freshness
Confirmed live today

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Similar $242k
$183k $297k
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This listing doesn't post a salary. Most similar roles pay $197,050–$286,000.

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About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 179 open roles on FindRole.

Listed pay typically runs $436,000–$700,000 across 123 roles with salary data.

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TL;DR · Data Scientist 5, Ads Experimentation

The Data Scientist 5 - Ads Experimentation joins the Ads Data Science & Engineering team to build the foundational logic for the Netflix ads business. This role involves architecting an experimentation roadmap, designing scalable frameworks, and transitioning manual analyses into automated solutions integrated with the Netflix Experimentation Platform. Key responsibilities include developing biddable media models, dynamically priced auctions, and strategies to optimize marketplace mechanics while solving cold-start measurement challenges for global expansion. The successful candidate will utilize advanced causal inference, machine learning, and data exploration to deliver end-to-end solutions. Required technical skills include expert proficiency in Python or R and advanced SQL. The role requires deep domain expertise in auction dynamics, yield management, and supply-demand matching within a marketplace setting to drive advertiser value.

What does a Data Scientist earn in New York?

Median $173200 from 44 postings across 18 companies.

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What you'll do

  • Design and execute rigorous experimental frameworks to automate and scale decision-making.
  • Develop and implement biddable media models and dynamically priced auction strategies.
  • Optimize marketplace mechanics to balance supply, demand, and member experience.
  • Solve "cold-start" measurement challenges to scale the ad platform across international markets.
  • Identify research opportunities and quantify their potential business impact for resource allocation.
  • Deliver end-to-end solutions using advanced causal inference, machine learning, and data exploration.
  • Translate complex statistical results into actionable business narratives for cross-functional stakeholders.

What we're looking for

  • MS or PhD in a quantitative field such as Statistics, Economics, or 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, specifically solving for interference and network effects in marketplace environments.
  • Expert proficiency in Python or R.
  • Advanced SQL skills.
  • Ability to translate complex statistical results into actionable business narratives for stakeholders at all levels.
  • Experience designing and executing rigorous experimental frameworks and automated, scalable solutions.

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