Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B tests * Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions * PhD or MS in Computer Science, Data Science, Statistics or a related quantitative field with scientific background and with 5+ years of relevant experience * Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation * Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools
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