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

Netflix

Software and Technology Jobs

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

full-timePosted: Oct 6, 2025

Job 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.ResponsibilitiesAct as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with novel data science methodsDefine and execute on roadmaps for measuring localization member impact and improving localization member experience with Experimentation, Causal Inference, and Machine LearningPartner closely with other business leaders, product managers, and other data scientists to refine and scale Causal Inference model based systemsPresent your research and insights to all levels of the companyBecome a regional expert on Localization Data Science and Engineering, helping educate and connect with regional officesAbout youProven track record of researching and leading Experimentation and Causal Inference methods in ambiguous and complex business areas with a focus on technical rigor and robustnessHigh 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 applicationsExceptional communication and collaboration skills coupled with strong business acumenComfortable with ambiguity; able to take ownership, and thrive with minimal oversight and processNetflix culture resonates with youInclusion 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.

Locations

  • Amsterdam, Netherlands

Salary

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • proficiency in standard tech stack (e.g., R, Python, SQL)intermediate
  • Experimentation (HTEs, multiple hypotheses correction)intermediate
  • Causal Inference frameworks (e.g., propensity score matching, double machine learning)intermediate
  • experience with Experimentation and Causal Inference applicationsintermediate
  • communication and collaboration skillsintermediate
  • business acumenintermediate

Required Qualifications

  • 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 (experience)
  • 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) (experience)
  • 5+ years of relevant experience with Experimentation and Causal Inference applications (experience, 5 years)
  • Exceptional communication and collaboration skills coupled with strong business acumen (experience)
  • Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process (experience)
  • Netflix culture resonates with you (experience)

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

Target Your Resume for "Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA" , Netflix

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Netflix logo

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

Netflix

Software and Technology Jobs

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

full-timePosted: Oct 6, 2025

Job 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.ResponsibilitiesAct as strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with novel data science methodsDefine and execute on roadmaps for measuring localization member impact and improving localization member experience with Experimentation, Causal Inference, and Machine LearningPartner closely with other business leaders, product managers, and other data scientists to refine and scale Causal Inference model based systemsPresent your research and insights to all levels of the companyBecome a regional expert on Localization Data Science and Engineering, helping educate and connect with regional officesAbout youProven track record of researching and leading Experimentation and Causal Inference methods in ambiguous and complex business areas with a focus on technical rigor and robustnessHigh 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 applicationsExceptional communication and collaboration skills coupled with strong business acumenComfortable with ambiguity; able to take ownership, and thrive with minimal oversight and processNetflix culture resonates with youInclusion 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.

Locations

  • Amsterdam, Netherlands

Salary

Estimated Salary Rangemedium confidence

120,000 - 180,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • proficiency in standard tech stack (e.g., R, Python, SQL)intermediate
  • Experimentation (HTEs, multiple hypotheses correction)intermediate
  • Causal Inference frameworks (e.g., propensity score matching, double machine learning)intermediate
  • experience with Experimentation and Causal Inference applicationsintermediate
  • communication and collaboration skillsintermediate
  • business acumenintermediate

Required Qualifications

  • 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 (experience)
  • 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) (experience)
  • 5+ years of relevant experience with Experimentation and Causal Inference applications (experience, 5 years)
  • Exceptional communication and collaboration skills coupled with strong business acumen (experience)
  • Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process (experience)
  • Netflix culture resonates with you (experience)

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

Target Your Resume for "Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA" , Netflix

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA" , Netflix

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data & InsightsStreaming

Answer 10 quick questions to check your fit for Senior Data Scientist (L5) - Localisation Strategy and Insights DSE - EMEA @ Netflix.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.