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Build a Product Information Marketplace with information about every product in the world. Principal Engineer MLat provides technical thought leadership on hard, business impacting problems. Reporting directly into the VP of engineering, this role involves shaping the engineering/ architecture vision the standpoint of delivering data science solutions. As a subject matter expert, the in cumbent is also responsible for mentoring data scientists and Software Engineers in the team. Mathematical maturity to critically analyze academic literature from venues such as KDD, ICDM, SDM, ICML and NIP. Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background. Good overlap with Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/ Python/ C++. A scientific temperament that seeks to rigorously validate hypothesis/ ideas. Ability and preference to work in a group rather than individually. Good at explaining/ communicating complex ideas/ concepts both verbal and written. Dedication and diligence in understanding the application domain, collecting/ cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/ models that directly impact business