DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution.
DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.
This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services, empowers any organization regardless of size, industry, or resources to drive better business outcomes with AI.
DataRobot has offices across the globe and funding from some of the world’s best investing firms including Alliance Bernstein, Altimeter, B Capital Group, Cisco, Citi Ventures, ClearBridge, DFJ Growth, Geodesic Capital, Glynn Capital, Intel Capital, Meritech, NEA, Salesforce Ventures, Sands Capital, Sapphire Ventures, Silver Lake Waterman, Snowflake Ventures, Tiger Global, T.
Rowe Price, and World Innovation Lab. DataRobot was named to the Forbes 2020 Cloud 100 list and the Forbes 2019 and 2020 Most Promising AI Companies lists, and was named a Leader in the IDC MarketScape : Worldwide Advanced Machine Learning Software Platforms Vendor Assessment.
For more information visit www.datarobot.com, and join the conversation on the DataRobot Community, More Intelligent Tomorrow podcast, Twitter, and LinkedIn.
Pre-sales Data Science
DataRobot is the world’s premier AI and data science platform. Our Pre-sales Data Science team consists of applied data scientists, passionate about using machine learning to achieve real-world results.
As part of the Pre-sales Data Science team at DataRobot, you will collaborate closely with DataRobot customers and bring expertise in data science and the DataRobot platform to help customers achieve their organization’s objectives with AI.
You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Strong candidates with 2+ years as a PreSales Data Scientist will also be considered.