If you are a seasoned Data Scientist with a proven track record of driving business impact through data-driven insights & strong background in leading Deep Learning & Operations Research related projects, this role is for you. We are looking to hire a candidate that holds Ph.D/Masters in Data Science and has a strong industry experience in solving deep learning, reinforcement learning and optimization problems. The candidate will be responsible for building complex, cutting edge, and scalable algorithms for optimization related initiatives in the Pricing domain. Further, the candidate will also be responsible to provide transparency on algorithmic recommendations that drive adoption and revenue impact. About the Team: The Applied AI team researches and develops algorithms that power areas like supply chain, pricing, assortment optimization, replenishment, store layout, etc. You will be working closely with other data scientists, machine learning engineers, operations research scientists and data analysts within the team as well collaborate with business teams, product managers, corporate strategists, software engineers and data engineers. We work with various techniques primarily from forecasting, operations research and often make use of techniques from machine learning (classical machine learning, deep learning, reinforcement learning), causal inference and statistics. Our work is innovative and is published in top tier conferences and journals.
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Job Type
Full-time
Career Level
Mid Level