Senior Data Scientist 5 - Media Science

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. Our Content business is responsible for weighing trade-offs between budget, schedules, and quality across the movies and shows we produce all around the world. The Media Science DSE team uses data to help the business navigate those decisions with clarity. Our metric frameworks and analysis directly shape how we enable creative teams to produce the best movies and shows for our members. EMEA is a growing hub within our broader Data & Insights org, and we are looking for a stunning Senior Data Scientist based in Amsterdam to join our growing Studio Production DSE team. In this role, you will partner with Product Management and cross-functional product teams, Finance & Strategy, and Content Operations & Innovation leadership to scale and innovate content creation workflows. Through thoughtful metric research and causal inference modeling, you will have the opportunity to directly influence decision-making around how we produce and innovate on global content production - helping Creatives bring their best vision to life on screen. As a Senior Data Scientist in this space, you will: Be the second Applied Inference Data Scientist in Media Science Data Science & Engineering, helping shape how the discipline shows up and drives impact in Studio Production Be a strategic thought partner for Content & Business Product PMs, Content Operations & Innovation leaders and teams, Finance & Strategy, and AI Innovation & Strategy DSE – scoping ambiguous, greenfield questions and proposing data science approaches where no playbook exists Identify metric research and causal inference opportunities to assess the impact of media innovation efforts and improve the efficiency and effectiveness of media creation Help Studio navigate cost, time, and quality trade-offs by delivering research that connects production decisions to member and business outcomes Own your research agenda end to end - from design and execution on causal analysis through to interpretation and dissemination Present your research and findings clearly to both technical and non-technical partners, translating complex analysis into decisions leadership can act on Build and maintain strong partnerships with a variety of business and product stakeholders, working directly with them to introduce and influence data-informed ways of working Collaborate with exceptional Data Scientists and Analytics Engineers in-region and globally to explore our operational data and uncover insights that help creative teams produce even better shows and movies for our members Serve as a regional expert on Studio Data Science & Engineering, helping educate and connect regional offices to existing research and data solutions from across the team About you: Advanced degree in Statistics, Mathematics, Physics, Economics, or related quantitative field 5+ years of relevant experience with a variety of causal inference methods, including quasi-experimental designs and managing complexities around smaller sample sizes Strong statistical knowledge and intuition, utilized in observational causal analysis and applied machine learning settings, with demonstrated business impact An expert in SQL and Python Proven track record wrangling data, performing exploratory data analysis, designing metrics and tests, building causal inference solutions, and articulating data stories to deliver meaningful business impact Strong verbal and written communicator who can develop and deepen effective relationships with a wide variety of stakeholders and communicate technical concepts clearly and concisely to less technical audiences A self-starter with a learning mindset who is exceptionally curious – eagerly diving into new spaces and bringing informed ideas to the table Comfortable operating in ambiguity and a fast-paced environment; able to take ownership and thrive with minimal oversight and process Thrilled about innovating in the Content Production domain via novel experimental techniques and comfortable taking (smart) risks in your work Extensive experience within the EMEA region, adept at working across different cultures on a globally-distributed team, collaborating with fellow team members and partners to ideate on and deliver impactful research Netflix culture resonates with you Plus: Experience creating data products and dashboards such as Tableau Plus: Designing and analyzing A/B tests Culture You will have the opportunity to impact the business in a meaningful way, working alongside smart people who love to solve hard problems, and who not only expect but also foster high performance. You will have the freedom to innovate, solve interesting problems, and influence decision-making in a fast-paced, exciting environment. You can learn more about our culture at jobs.netflix.com/culture . 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.