Remote Otter LogoRemoteOtter

Data Scientist (L5) - Promotional Media, Emerging Experiences - Remote

Posted Yesterday
Data Analysis
Full Time
USA
$150,000 - $750,000/year

Overview

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. The Promotional Media Measurement and Operations Data Science team analyzes, conducts research on and develops metrics about the relationship between promotional media and member engagement.

In Short

  • Partner with cross-functional business partners on Emerging Experiences.
  • Conduct exploratory analysis to build conceptual frameworks.
  • Execute and analyze experiments and develop causal inference models.
  • Develop metrics and models for promotional asset creation.
  • Coordinate and communicate with stakeholders and data scientists.
  • Own and drive projects with minimal oversight.
  • Exceptional written and oral communication skills.
  • Masters or Ph.D. in a quantitative field preferred.
  • 5+ years of experience in data science roles.
  • Enthusiasm about Netflix culture.

Requirements

  • Expertise in statistical methods.
  • Proficient programming in SQL and Python/R.
  • Comfortable in ambiguous problem spaces.
  • Ability to communicate with technical and non-technical audiences.
  • Experience with causal inference and experimentation.
  • Strong analytical skills.
  • Ability to work in a fast-paced environment.
  • Creative thinking.
  • Strong stakeholder management skills.
  • Compatibility with Netflix culture.

Benefits

  • Annual salary with stock options.
  • Inclusive work environment.
  • Opportunities for professional growth.
  • Access to best-in-class TV series, films, and games.
  • Diversity and inclusion initiatives.
  • Flexible work arrangements.
  • Support for accommodations during hiring process.
  • Equal-opportunity employer.
  • Engaging and innovative work culture.
  • Global impact through entertainment.

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.

Share This Job!

Save This Job!

Similar Jobs:

Netflix

Machine Learning Scientist (L5) - Promotional Media - Remote

Netflix

1 week ago

Netflix is looking for a Machine Learning Scientist to enhance promotional writing and content discovery through innovative ML solutions.

USA
Full-time
Software Development
$150,000 - $750,000/year
Voodoo logo

Experienced Data Scientist - AdTech - Remote

Voodoo

13 weeks ago

Join Voodoo as an Experienced Data Scientist to leverage machine learning for enhancing ad network monetization.

France
Full-time
Data Analysis

S.F

Data Scientist - Experimentation - Remote

Stitch Fix

23 weeks ago

Join Stitch Fix as a Data Scientist focusing on experimentation to drive innovation and decision-making.

USA
Full-time
Data Analysis
$153,700 - $226,000 USD/year
Fusemachines logo

Senior Data Scientist with LLM Experience - Remote

Fusemachines

2 weeks ago

Join Fusemachines as a Senior Data Scientist to develop LLM-based applications and drive innovation in AI solutions.

USA
Contract
Data Analysis
Tripadvisor logo

Machine Learning Scientist I - Experiences - Remote

Tripadvisor

21 weeks ago

Join Tripadvisor as a Machine Learning Scientist I to enhance the Experiences business through innovative machine learning solutions.

Portugal
Full-time
Data Analysis