Customer Facing Data Scientist

Pre-sales:

• In the pre-sales process, represent the DataRobot product to various personas across the customer organizations spanning from data scientists to C-level executives.
• Lead product demonstrations, align DataRobot to the vision of the customers’ goals, lead the Proof Of Value process, and quantify the business impact of DataRobot.
• Influence our customers through thought leadership by translating complex technical terms/processes into business outcomes / value-based messaging
• Act as a trusted advisor on AI across the customer lifecycle; build champions by enabling customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
• Work in tight partnership with the Sales team as well as our Success and Field Engineering teams to ultimately support our customers in achieving their goals with DataRobot.

Post-sales:

• Be the DataRobot product and data science subject matter expert to our customers by leading implementation, advising on the viability and execution of use cases, helping to develop Joint Success Plans (JSP), and leading the execution them.
• Ensure the success of our customers by helping to achieve quantifiable Value Realization Indicators - Leading to renewals/expansions furthering the growth of both our customers and DataRobot
• Act as a trusted advisor on AI across the customer lifecycle; enable customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption
• Work side-by-side with our sales and success teams to help our customers achieve their JSP and quantify the business impact of it
• Identify opportunities to expand our relationship with customers

General:

• Act internally as the voice of the customer to the Product, Engineering, and Marketing
• Present at conferences and/or help create other marketing content

• 4+ years of experience either in a PreSales role (and with a motivation to learn Data Science) or in Data Science/predictive modeling.  Strong candidates with 2+ years as a PreSales Data Scientist will also be considered.
• 2+ years of experience in customer facing role
• Bachelor’s degree, preferably in a quantitative subject
• Hands-on experience building and implementing machine learning or AI models
• Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successful business outcomes
• Strong customer interaction, communication, writing, and interpersonal skills
• Excellent project management and organizational abilities
• Familiarity with a variety of technical tools for the manipulation of data
• Ability to understand, write, and collaborate with Python or R
• Regional travel may be required

Desired:

• Advanced degree
• Familiarity with consultative sales processes in the data/analytics marketplace
• Familiarity with data platform technology integrations
• Experience dealing with complex customer organizations
• Fluency with scripting in Python or R (preferably both)