Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA

Posted 9 Days Ago
Be an Early Applicant
Amsterdam
In-Office
Senior level
News + Entertainment
The Role
Develop and execute data science methodologies to enhance localization strategies, focusing on Experimentation and Causal Inference to improve member experience.
Summary Generated by Built In

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Localisation Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members, regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localised user interfaces, subtitles, and dubbing of award-winning Netflix originals.

Responsibilities
  • Act as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with novel data science methods

  • Define and execute on roadmaps for measuring localization member impact and improving localization member experience with Experimentation, 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 Localization 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., R, Python, SQL), Experimentation (HTEs, multiple hypotheses correction), and common Causal Inference frameworks (e.g., propensity score matching, double machine learning)

  • 5+ 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

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Top Skills

Python
R
SQL
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The Company
HQ: Los Gatos, CA
13,212 Employees
Year Founded: 1997

What We Do

Netflix is the world's leading streaming entertainment service with 209 million paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

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