Magnet.me  -  The smart network where students and professionals find their internship or job.

The smart network where students and professionals find their internship or job.

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

Posted 7 Oct 2025
Share:
Work experience
5 to 10 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)
Deadline
4 April 2026

Your career starts on Magnet.me

Create a profile and receive smart job recommendations based on your liked jobs.

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.

Netflix is the world's leading internet entertainment service with over 151 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.

Entertainment
Amsterdam
10,000 employees