Machine Learning Scientist 5 - Localization

Act as strategic partner for researchers and engineers to guide localization algo development Define and execute on roadmaps for measuring localization member impact and improving localization member experience with Causal Inference and Machine Learning tools Partner closely with other business leaders, product managers, and other data scientists to refine and scale your findings 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 Proven track record of researching and leading Causal Inference, Machine Learning, and AI Evaluation methods in ambiguous and complex areas with a focus on technical rigor and robustness High proficiency in standard tech stack (e.g., R, Python, SQL), Causal Inference (e.g., propensity score matching, double machine learning), and Machine Learning (Supervised Learning, LLM Evaluation methods) 4+ years of relevant experience with Causal Inference and Machine Learning 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