This role pays more than
98%
of similar roles. Most pay
$154,962–$231,975
— the shaded band above.
At the midpoint, this role pays about
$486k
versus about
$193k
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
69 open roles
on FindRole.
Listed pay typically runs
$440,000–$725,000
across 58 roles with salary data.
Data Scientist 5 - Media Science DSE joins the Media Science DSE team to serve as the founding data scientist for Netflix Animation Studios. This role involves constructing a roadmap for analysis, models, and data products that integrate finance, production, and people data into a single system. You will build scenario planning models, develop new metrics, and create dashboards to empower slate planning and operational forecasting. Key responsibilities include conducting slate analysis to surface show efficiency drivers and translating complex analysis into actionable insights for leadership. The role requires an advanced degree in a quantitative field and over eight years of experience. You must demonstrate expertise in measurement frameworks, forecasting, optimization models, and data visualization to solve problems within a resource-constrained film production environment.
What does a Data Scientist earn in Remote?
Median $199250 from 35 postings across 18 companies.
Construct and execute a roadmap for analysis, models, and data products connecting finance, production, and people data.
Define and prioritize the studio's metrics and science agenda in partnership with leadership.
Own the end-to-end measurement agenda including data model design, new metric development, and forecasting.
Conduct slate analysis to identify drivers of show efficiency and preserve creative optionality.
Develop scenario planning models to quantify how schedule changes impact production timelines and workforce allocation.
Build dashboards and scorecards to allow leadership to monitor show statuses and potential risks.
Present complex analytical insights and models clearly to leadership to drive actionable business decisions.
What we're looking for
Advanced degree in Statistics, Applied Mathematics, Economics, Operations Research, or a related quantitative field (or equivalent practical experience).
8+ years of experience as a data scientist.
Track record of developing and executing measurement frameworks, models, and visualization products that inform business decisions.
Experience building scenario planning, forecasting, or optimization models in operationally complex, resource-constrained environments.
Strong quantitative and statistical intuition for exploratory analysis, new metric construction, and model development.
Proven ability to translate ambiguous business questions into structured analytical workstreams.
Skilled at building dashboards and visualizations that make complex data intuitive and actionable for leadership.
Excellent verbal and written communication skills to distill complex analysis into clear narratives.