Time Series Execution Customer Facing Data Scientists (TSECFDSs) are essential to making our forecasting customers and customer success teams successful. An ideal TSECFDS candidate should have strong fundamentals of applied data science and forecasting in business settings, and should enjoy communicating and evangelizing data science solutions to business stakeholders.

Responsibilities

• Product
• 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 and working closely with developers through all phases of the development cycle
• Data Science
• Enabling customers to solve complex forecasting 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 and forecasting knowledge and expertise as a trusted advisor to the client
• Explaining complex data science and forecasting concepts to other member of the customer success organization and external decision makers
• Project management
• Conducting and managing complex data science projects with customer’s vision of success in mind
• Working in a research environment to deliver innovative solutions
• Collaborating with cross-functional teams to deliver innovative solutions in a research environment
• Leadership
• Able to establish trust quickly with customers 
• 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 and educational purposes

On a day-to-day basis, TSCFDS work side-by-side with both customer-facing CFDS, Sales, Account Management, and Field Engineering teams as well as internal R&D Product, Engineering and Design to help our customers achieve their goals with DataRobot.

Main Requirements

• 4-5+ years of real-world business experience in a data science role with strong time series and forecasting experience
• 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 15% travel outside of the geographical region
• Language requirements

Desired Skills

• Familiarity with consultative sales process in the analytics marketplace
• Experience dealing with complex customer organizations
• Experience working with innovation or development teams
• Experience in retail, financial markets and other verticals where forecasting problems are common