Data Scientist • M.S in Computer Science (preferred). • Building and owning large scale machine learning models • Processing large datasets (predominantly text, but also images) and working with big data technologies, languages, and frameworks: SCOPE, Spark, SQL, Pytorch, Tensorflow, Python, C#, Java • Designing experiments, setting up evaluations, and producing trustworthy conclusions. • 3-5+ years of experience in one or more of ML / Deep Learning, NLP, IR, databases, and graph algorithms. • 1+ years of experience in parallel or distributed CPU/GPU processing, high performance computing, or stream computing. • Experience in deploying Machine Learning/ Deep Learning models in Azure/AWS/GCP. • Experience with Web applications and service architecture; Web information extraction is a plus. • Strong desire to keep up to date with research and potential applications. Vision for how to advance the state of the art. • Successful candidates care about good software engineering practices, including version control, modular design, code quality, testing, and documentation.