![]() ![]() You’ll have fluent programming skills in Python, which is our main language for data science projects, and experience with databases (SQL) You’ve got knowledge of experimental design and analysis, as well as A/B testing ![]() Depending on the team and role, we’ll value experience with computer vision, deep learning, reinforcement learning, NLP, Bayesian methods, and other approaches relevant to the problem domain.
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