Data Scientist

Full time

Employment Information

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of stories from all over the globe. We are revolutionizing international storytelling as we deliver billions of hours of movies and TV shows per month to 260+ million members across 190+ countries in 30+ languages.

The Globalization 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 localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

Europe is a significant center for our broader Studio and Creative Production teams. We are looking for an experienced Data Scientist based in our Amsterdam office to join our growing European team. In this role, you will have a chance to help improve localization experience and create more member value by leveraging your Causal Inference modeling skills. You will partner with a talented cross-functional team of scientists, engineers, product managers and domain experts to shape localization strategy and deliver business impact.


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 Causal Inference, Experimentation and Machine Learning Partner closely with other engineers and 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 Globalization Data Science and Engineering, helping educate and connect with regional offices

About you

Proven experience and track record of researching and applying Causal Inference methods in ambiguous and complex business areas with scalability requirements High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common Causal Inference frameworks (e.g., propensity score matching, double machine learning) Familiar with fundamentals of software engineering as well as data engineering best practices 5+ years of relevant experiences with Causal Inference powered by big data 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 culture

Netflix’s culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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