Data & Applied Scientist II

Are you interested in solving complex tradeoff optimization problems faced by Microsoft Bing? How about planning, training, deploying, A/B testing, and analyzing machine learning models driven by terabytes of real-world data? We are the Revenue Optimization team in Bing. We push the boundaries of machine intelligence, at the convergence of machine learning and optimization. We empower nearly half a billion people around the globe monthly to achieve more. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence.

The Revenue Optimization team in Bing is looking for a data scientist who can solve problems using machine learning. Well, the selected candidate will not only solve problems but more importantly take ownership of machine learning pipelines from the beginning to the end; from querying petabytes of data for a big data training set to deploying a model in C#; from planning to execution to post-launch iterative improvements and more. Come help us make Microsoft’s mission a reality: to empower every person and every organization on the planet to achieve more.