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.

Responsibilities

• 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

Requirements

• 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

Desired:

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