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Data Scientist (L5) - Content Understanding

Netflix
Posted 5 days ago, valid for 6 days
Location

Leavenworth, WA 98826, US

Salary

$372,000 - $600,000 per year

Contract type

Full Time

Retirement Plan
Paid Time Off
Flexible Spending Account

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Sonic Summary

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  • Netflix is seeking a talented data scientist to join their Merchandising and Content Understanding team, which focuses on enhancing content discovery and operational excellence.
  • The role requires a minimum of 4 years of relevant experience in Experimentation and Causal Inference applications, along with proficiency in Python and SQL.
  • The compensation range for this position is between $372,000.00 and $600,000.00, varying based on location and individual qualifications.
  • Responsibilities include collaborating with stakeholders to identify business opportunities, executing measurement roadmaps, and presenting insights across the company.
  • Candidates should possess strong communication skills, a track record in data science methodologies, and a comfort with ambiguity to thrive in Netflix's unique culture.

The goal of our Merchandising and Content Understanding team is to enable operational and creative excellence in the distribution and promotion of our content on our service. We collaborate closely with our partners in the Product Discovery & Promotion organization, and our work directly contributes to launching high-quality content on our service and helps our members discover content they will love. We conduct analyses, build analytical tools, and develop models to help our partners execute on these primary objectives. 

We are looking for a talented data scientist to join Merchandising & Content Understanding, which focuses on developing content understanding signals across all formats and improving the discovery experience on our service. 

Responsibilities

  • Act as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with novel data science methods in the live event space

  • Define and execute on roadmaps for measuring the impact of content merchandising and improving member experience with Causal Inference and Machine Learning

  • Partner closely with other business leaders, product managers, and other data scientists to refine and scale Causal Inference model based systems

  • Present your research and insights to all levels of the company

  • Become a regional expert on Merchandising and Content Understanding Data Science and Engineering, helping educate and connect with regional offices

About you

  • Proven track record of researching and leading Experimentation and Causal Inference methods in ambiguous and complex business areas with a focus on technical rigor and robustness

  • High proficiency in standard tech stack (e.g. Python, SQL), Experimentation (HTEs, multiple hypotheses correction), and common Causal Inference frameworks (e.g., propensity score matching, double machine learning)

  • 4+ years of relevant experience with Experimentation and Causal Inference applications

  • Exceptional communication and collaboration skills coupled with strong business acumen

  • Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process

  • Netflix culture resonates with you




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