Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA
NetflixNetherlands4 days ago
Full-timeOther
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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
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.
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
- 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
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.
Key Skills
Ranked by relevanceReady to apply?
Join Netflix and take your career to the next level!
Application takes less than 5 minutes