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Data Scientist (L5) - Ads Experimentation - Remote

Posted 3 days ago
Data Analysis
Full Time
USA
$170,000 - $720,000/year

Overview

Netflix is seeking a Senior Data Scientist to help build the foundation of the ads business, focusing on experimentation and valuation, with a significant impact on product decisions.

In Short

  • Work on Ads Experimentation and Valuation.
  • Design, configure, run, and analyze experiments.
  • Collaborate with cross-functional teams.
  • Utilize machine learning and statistical analysis.
  • Communicate insights to stakeholders.
  • Drive innovations in the ads business.
  • Mentor and enable others in the team.
  • Participate in a culture of diversity and inclusion.
  • Flexible compensation structure with salary and stock options.
  • Comprehensive benefits including health plans and retirement options.

Requirements

  • Advanced degree in a quantitative field.
  • Experience with large-scale data analysis.
  • Strong statistical knowledge and intuition.
  • Proficiency in SQL and programming in Python or R.
  • Ability to communicate technical concepts clearly.
  • Experience in product analytics settings.
  • Demonstrated leadership and collaboration skills.
  • Commitment to Netflix’s culture and values.
  • Ability to drive product change across various stakeholders.
  • Strong problem-solving skills and innovative mindset.

Benefits

  • Health Plans and Mental Health support.
  • 401(k) Retirement Plan with employer match.
  • Stock Option Program and Disability Programs.
  • Flexible Spending Accounts and Family-forming benefits.
  • Paid leave of absence programs.
  • 35 days of annual paid time off for full-time hourly employees.
  • Flexible time off for full-time salaried employees.
  • Commitment to diversity and inclusion in the workplace.
  • Opportunities for professional growth and development.
  • Access to best-in-class entertainment resources.

Netflix

Netflix

Netflix Global is a leading entertainment service provider with 278 million paid memberships across over 190 countries, offering a diverse range of TV series, films, and games in various genres and languages. The company prioritizes a seamless viewing experience, allowing members to watch content anytime, anywhere, with flexible subscription plans. The N-Tech Systems Engineering team at Netflix is dedicated to enhancing employee collaboration and productivity by developing technical solutions that streamline workflows and reduce friction. With a commitment to innovation and a unique company culture that values diversity and inclusion, Netflix aims to entertain the world by providing access to high-quality content in more than 30 languages.

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