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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 Globalization Data Science and Engineering, helping educate and connect with regional offices
About you
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)
2+ 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
Job is open for no less than 7 days and will be removed when the position is filled.
Job is open for no less than 7 days and will be removed when the position is filled.
Job is open for no less than 7 days and will be removed when the position is filled.
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