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Job Description
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 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 Plus: Experience creating data products and dashboards such as Tableau Plus: Designing and analyzing A/B tests