Exclusive – Bloomberg Head of Data Science Gideon Mann Talks Machine Learning and Financial Data

Gideon Mann is Head of Data Science at Bloomberg, guiding the strategic direction for machine learning, natural language processing and search on the core terminal for the past two years. He joined Bloomberg after a notable role with Google Research. In addition to academic research, his team at Google built the core middle-ware libraries for small-to-medium sized machine learning and publicly released the Google Prediction API, Smart Auto-Fill for Sheets and coLaboratory (open-sourced as part of iPython/Project Jupyter). In our conversation with Gideon, he shares key skills for success in data science, the latest at Bloomberg and growing up with current peers. In order to be an effective data scientist, you must have 1) the skills to apply techniques to utilize data, 2) a deep knowledge of mathematics and 3) the ability to listen. The third skill is most important since the solution to problems is often deeply rooted in the question itself.