Data Scientist (l5) - Ads

Netflix

Los Gatos, CA, US
Base: $170,000 - $720,000; bonus/equity: stock opt...
Machine learning model development
Data exploration and analysis
Cross-functional stakeholder collaboration
Netflix introduced a new, more affordable, ad-supported tier in April 2022, focusing on expanding choices for consumers and providing advertisers with a premium TV brand experience

Job Summary

  • Netflix introduced a new, more affordable, ad-supported tier in April 2022, focusing on expanding choices for consumers and providing advertisers with a premium TV brand experience.
  • The Ads Data Science and Engineering team is responsible for conducting comprehensive analyses, developing analytic tools, and creating predictive models using machine learning to enhance choices and joy for members.
  • Netflix offers a compensation structure consisting solely of an annual salary with flexible allocation between salary and stock options, comprehensive benefits, and a unique culture emphasizing diversity and inclusion.

Matching Summary

Netflix introduced a new, more affordable, ad-supported tier in April 2022, focusing on expanding choices for consumers and providing advertisers with a premium TV brand experience.

Salary

Base: $170,000 - $720,000; Bonus/Equity: Stock options available; Benefits: Health plans, 401(k) with employer match, paid leave, mental health support

Skills & Requirements

Must-have

  • Machine learning model development
  • Data exploration and analysis
  • Cross-functional stakeholder collaboration
  • Predictive modeling and optimization algorithms
  • End-to-end analytics initiatives
  • Analytic tool development

Nice-to-have

  • High emotional intelligence
  • Leadership and team coaching
  • Strong communication and presentation skills
  • Passion for TV and movies
  • Ability to translate business objectives into analyses

Key Requirements

  • Leadership experience in cross-functional projects
  • Ability to autonomously identify impactful research
  • Strong quantitative and qualitative skills
  • Experience with business impact prioritization
  • Excellent communication skills
  • Experience in developing and deploying models at scale

Work Rights

Not specified

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