Data Scientist 5, Messaging

Netflix

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$372,000–$600,000 / yr
Employment
Full-time
Posted
23 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $486k
$94k $654k
below market most similar roles pay here above market

This role pays more than 97% of similar roles. Most pay $162,000–$246,150 — the blue band above. At the midpoint, this role pays about $486k versus about $204k for comparable roles.

Based on 240 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 165 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 151 roles with salary data.

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View all roles at Netflix

At a glance

TL;DR · Data Scientist 5, Messaging

The Data Scientist 5, Messaging joins the Messaging Data Science & Engineering team to lead the partnership with the Consumer Messaging Program team. This role involves designing and running rigorous A/B tests to evaluate messaging strategies across various channels, timings, and content types. You will apply causal inference techniques when clean tests are unavailable and build measurement frameworks to validate hypotheses. Responsibilities include owning code, data pipelines, and dataset enrichment while automating recurring analysis like test reads and experiment dashboards. You must use SQL and Python to build scalable data solutions for catalog discovery, commerce, and member lifecycle moments. The role requires expertise in experimentation, causal inference, and translating ambiguous business asks into data-grounded recommendations to improve member engagement across email, push notifications, and in-product channels.

What does a Data Scientist earn in Remote?

Median $217400 from 41 postings across 18 companies.

See salary data

What you'll do

  • Design and run rigorous A/B tests to evaluate messaging strategies including channel, timing, content, and targeting.
  • Apply causal inference techniques to make confident data-driven decisions when clean experimental tests are not feasible.
  • Develop and evolve experimentation standards and measurement frameworks to create a shared playbook for the broader organization.
  • Own the code, data pipelines, and dataset enrichment required to ensure reliable analysis and stakeholder confidence.
  • Automate recurring analysis tasks, experiment dashboards, and campaign health checks into self-serve tools and repeatable workflows.
  • Translate ambiguous business requests into well-scoped data science projects and actionable recommendations for stakeholders.
  • Build scalable data solutions to support messaging expansion into new business verticals like Live and Games.

What we're looking for

  • At least 5 years of relevant experience with demonstrated strength in experimentation and causal inference.
  • Hands-on experience designing and analyzing experiments using causal inference and measurement techniques beyond vanilla A/B tests.
  • Strong SQL and Python skills, including building dashboards and automations to improve team efficiency.
  • Exceptional communication skills to influence technical and non-technical audiences with clear, actionable insights.
  • Ability to translate ambiguous business asks into clear data science solutions and own projects end-to-end.
  • Experience with CRM, messaging/lifecycle marketing, or campaign analytics (preferred).
  • Experience with algorithms as a product (preferred).
  • PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (preferred).

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