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Senior Data Scientist Loc: San Francisco, CA


2017-01-04 23:50:32
Job Type: Full Time only
Budget $: 100,000 - 200,000

  • Be part of an experienced team in Natural Language Understanding, Graph, Deep Learning, and Enterprise Applications with intimate knowledge of the domain
  • Help us to introduce mainstream NLU into Enterprise ApplicationsYou 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 Computational MathematicsOR Masters in related field with
  • 2+ years industry experience using NLP/IR/MLStrong 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 databasesProven ability to solve problems using state of the art technology
  • Proven ability to innovate when necessary, but not reinvent the wheelIntuition and experience with NLP/IR or graph data is a plus
  • Proven ability to apply machine learning to a wide range of problems
Skills:

  • Imagination beyond what has been done before
  • Experimental yet able to create something useful
  • Flexibility to deal with ambiguity in requirements
  • Hands on, and not afraid to wear multiple hats
  • Passion for career growth and development into a leadership position
  • Ability to provide technical guidance and leadership to other engineers


Key Skills: