Customer Facing Data Scientist

Customer Facing Data Scientist


Customer Facing Data Scientist

Details of the offer

Customer Facing Data Scientists (CFDSs) are critical to making our customers successful. An ideal CFDS candidate should have strong fundamentals of applied data science in business setting, and should enjoy communicating and evangelizing data science solutions to business stakeholders.
Roles and responsibilities :
Representing the DataRobot product from a technical standpoint to customers - including demonstrations, conducting proof-of-concept trials, helping clients evaluate success criteria, and training users
Providing the customer’s point of view to DataRobot’s Product team, informing the direction of future product feature development
Data Science
Enabling customers to solve complex data science problems using DataRobot - including problem framing, data preparation, model building, model deployment, model management, and output consumption
In some cases, executing data science workflows for customers
Providing data science knowledge and expertise as a trusted advisor to the client
Project management
Conducting and managing data science projects with customer’s vision of success in mind
Collaborating with Sales, Field Engineers, and the rest of the DataRobot team to identify the best possible resources to move forward customer’s projects
Building a long-term trusted relationship with the customer so that the customers can be led towards success
Understanding and empathizing with customers’ pain points of building AI solutions
Qualifying opportunities where DataRobot can be a suitable fit and thus making DataRobot more efficient
Presenting DataRobot in industry conferences as well as creating powerful technical content for marketing purposes
On a day-to-day basis, CFDS work side-by-side with the Sales, Account Management, and Field Engineering teams to help our customers achieve their goals with DataRobot. Internally, CFDS act as the voice of customer to the Product, Engineering, and Marketing teams.
Main Requirements:
4-5+ years of real-world business experience in a data science role
Hands-on experience building and implementing predictive models using machine learning algorithms
Strong customer interaction experience
Strong project management skills
Excellent organizational, communication, writing and interpersonal skills
Familiarity with a variety of technical tools for the manipulation of datasets
Fluency with scripting (Python / R)
Up to 50% travel in and around New Zealand
Desired Skills:
Familiarity with consultative sales process in the analytics marketplace
Familiarity with Hadoop and related Big Data technologies
Experience dealing with complex customer organizations
Deep experience with specific industries (e.g. banking, healthcare, insurance) or specific problem types (e.g. time-series, optimization)

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