Data Scientist 5 - Infrastructure Experimentation

Netflix

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$372,000–$600,000 / yr
Posted
108 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $486k
$47k most similar roles pay here $659k

This role pays more than 99% of similar roles. Most pay $126,800–$192,050 — the shaded band above. At the midpoint, this role pays about $486k versus about $159k for comparable roles.

Based on 239 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 113 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 111 roles with salary data.

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At a glance

TL;DR · Data Scientist 5 - Infrastructure Experimentation

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As a Senior Data Scientist focused on Infrastructure Experimentation, you will join a collaborative data organization comprising Analytics Engineers, Data Engineers, and fellow Data Scientists. Your primary responsibility involves building and maintaining machine learning models that predict the cost and performance implications of A/B tests, translating experimental signals into actionable business metrics. You will work closely with platform engineering teams to enhance infrastructure usage data quality and coverage, driving adoption through analysis, consultation, documentation, and training. The role requires expertise in experimentation methodology, causal inference, and applied machine learning, along with fluency in Python and SQL for large-scale data systems. Ideal candidates are experienced in building production-ready models, excel at cross-functional collaboration, and possess strong communication skills to bridge technical and non-technical audiences within the infrastructure domain at Netflix.

Skills

Python SQL AWS Kubernetes Terraform Docker CI/CD Prometheus Grafana PostgreSQL Redis MESOS Cassandra Hadoop Spark Git Jenkins Ansible Bash Linux

What you'll do

  • Build and maintain machine learning models predicting cost impacts of A/B experiments.
  • Drive adoption of infrastructure metrics through analysis, consultation, documentation, and training.
  • Partner with platform teams to enhance quality and coverage of data for models.
  • Extend measurement framework to new metrics and experiment types.
  • Champion an infrastructure lens within the experimentation community for holistic decision-making.

What we're looking for

  • Experienced in experimentation methodology and causal inference.
  • Proficient in building and maintaining machine learning models in production.
  • Fluent in Python and SQL, with data pipeline engineering experience.
  • Strong collaborator and communicator across technical and non-technical teams.
  • Comfortable working with messy, incomplete data environments.
  • Views data science outputs as products, focusing on end-to-end ownership.
  • Curious about infrastructure systems and motivated to learn.

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