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DataRobot // machine learning automation software for enterprise
Engineering, Full Time    Chicago, IL, USA    Posted: Thursday, April 22, 2021
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DataRobot is the worlds premier AI & data science platform. Our Customer Facing Data Scientists are experienced applied data scientists, passionate about using machine learning to achieve real-world results. As a Customer Facing Data Scientist at DataRobot, you will collaborate closely with DataRobot customers, bringing expertise in data science & the DataRobot platform, to help customers achieve their organizations objectives with AI.  Youll work with a wide range of insurance customers & use cases, & with both business (executive, line of business) & technical (data science, engineering, analytics) stakeholders.


  • Support customers through the entire customer lifecycle beginning with pre-sales & as an ongoing client of DataRobot
  • Act as a trusted advisor on AI; enable customers to solve complex data science problems using DataRobot including problem framing, data preparation, scripting, model building, model deployment, model management, & output consumption
  • In the pre-sales process, represent the DataRobot product to customer executives lead demonstrations, advise on & evaluate the viability of customer use cases, help develop success criteria, support Proof of Value trials, & quantify the business impact of automation-first data science solutions
  • Work side-by-side with the Sales, Account Management, & Field Engineering teams to help our customers achieve their goals with DataRobot. 
  • Act internally as the voice of the customer to the Product, Engineering, & Marketing teams
  • Present at conferences and/or help create other marketing content


  • 4-5+ years of real-world business experience in a data science role
  • Bachelors degree, preferably in a quantitative subject
  • Hands-on experience building & implementing machine learning or AI models
  • Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes
  • Strong customer interaction experience
  • Strong project management skills
  • Excellent organizational, communication, writing & interpersonal skills
  • Familiarity with a variety of technical tools for the manipulation of data
  • Fluency with scripting in Python or R (preferably both)
  • Experience in property/casualty insurance or health insurance
  • Up to 40% travel


  • Advanced degree
  • Familiarity with consultative sales process in the analytics marketplace
  • Familiarity with data platform technology integrations
  • Experience dealing with complex customer organizations
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