Data Scientist
L5, Applied Research, Consumer Insights
Posted on 1/27/2023
Los Angeles, CA, USA
Experience Level
Desired Skills
  • Advanced degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field or relevant industry experience
  • Strong statistical knowledge and intuition - ideally utilized in experimentation, market, consumer, or social research settings
  • Ability to communicate technical and statistical concepts clearly and concisely among audiences at various levels
  • Expert quantitative analysis, programming, and data manipulation skills using SQL, R and/or Python, and version control (Github, Stash)
  • Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems
  • Strong partnership skills and ability to execute and independently drive projects forward
  • Champion research innovation and establish a program culture of excellence in the conceptualization, design, analysis, and interpretation of consumer research in order to ensure the quality and actionability of our insights
  • Effectively leverage statistics causal inference frameworks to implement a scalable research recruitment and sampling strategy that enables global research across our Consumer Insights team
  • Work collaboratively and iteratively throughout the research lifecycle to support survey design, deployment, analysis, and interpretation
  • Consult with Legal and Privacy Engineering teams to ensure best practices in the collection, storage, retention and use of data collected across consumer surveys, focus groups, and other research methodologies
  • Partner with our product and message engineering teams to develop and adopt innovative methods of outreach for consumer research
  • Bring vision to a developing space, establishing best practices and develop dashboards, tools, or other data products to support consumer research at scale and increase the impact and efficiency of our CI team
  • Collaborate with Researchers, Engineers, and Data Scientists to conduct analyses and apply statistics and causal inference methods to answer specific day-to-day questions or support larger initiatives
Desired Qualifications
  • Experience in building causal inference solutions is a plus
  • Experience working with 3rd party APIs for data ingestion is a plus

5,001-10,000 employees

Subscription streaming entertainment service
Company Overview
Netflix's mission is to entertain the world. The company operates a streaming platform for movies & TV shows and has over 222 million subscribers globally.
  • Free lunches
  • Up to 12 months' maternity and paternity leave
  • Unlimited vacation days, within reason
  • Open working hours (at the California office)
  • Health, vision, and dental insurance
  • Employee stock purchase plan
  • Mobile phone discounts
Company Core Values
  • Inclusion
  • Innovation
  • Passion
  • Curiosity
  • Judgment
  • Communication
  • Courage
  • Selflessness
  • Integrity
  • Impact