Data Scientist for San Francisco Bay area, CA As the Senior Data Scientist, you’ll be responsible for developing and testing hypotheses on behavioral responses in B2B marketing, creating models that extract data from, among others, website, digital advertising, and CRM solutions into actionable insights, and defining leading edge thinking on how analytical frameworks can be applied to predictive marketing. We deal with a large number of known problems with NLP such as relation extraction, NER, cross-document summarization, natural language understanding, natural language generation, topic modeling, and entity linking/disambiguation. Your job will to be develop new technologies, improve on existing technologies, and build these tools into enterprise-level software. You will be both hands-on and strategic—with both a broad ecosystem-level understanding of our market space and the ability to work closely with engineering and product teams to deliver software in an iterative, continual-release environment. This is a high-visibility position involving close collaboration across functional groups and with executive stakeholders at customers like the ones mentioned above. Why you want to join us: Be at the cutting edge of NLP technology Be part of an experienced team in machine learning, natural language understanding, deep learning, graph theory, and enterprise applications with intimate knowledge of the domain Help us to introduce mainstream NLU into enterprise applications You would have access to a unique set of data capturing all interactions between businesses, which is sought after by many researchers. We are uniquely positioned with significant intellectual property Responsibilities: Define: Work with customers and internal stakeholders to define hypotheses and models. We are dealing with all aspects of Business-to-Business sales and marketing problems and first to apply data science to them. Document: Write clear, concise descriptions of how insights can be converted into repeatable actions. Test: Continually iterate your models and refine assumptions, data sources and more. Communicate: Drive understanding and buy-in among all stakeholders at all levels. Requirements: PhD in Computer Science, Math, Statistics, or a related field OR Masters in related field with 2+ years industry experience using NLP and machine learning Strong background in algorithms and dealing with large-scale data problems Experience with Hadoop or Spark or other large-scale data processing platforms Experience with SQL or NoSQL databases Proven ability to solve problems using state of the art technology Proven ability to innovate when necessary, but not reinvent the wheel Proven ability to solve problems using NLP and machine learning in an industry setting
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