H2O is the premier open-source machine learning platform transforming how machine-intelligence applications are built. With H2O, data scientists take both simple and sophisticated models to production from the same interactive platform they use for modeling, at enterprise scales. Our customers have built powerful domaterin-specific predictive engines for recommendation, pricing, and outlier detection in fraud & insurance. The H2O.ai team is a mix of Software, Math, and Data Science people working together with the open source community to build H2O.
Knocking down technical barriers to the adoption of H2O.ai’s products and services is the main responsibility of a Customer Data Scientist at H2O.ai. This includes being the technical part of the sales team focused on presenting H2O.ai’s technology to help solve customers’ critical business problems.
Another critical part of the role is ensuring the success of existing customers along with expanding the usage of H2O.ai’s technology by discovering additional use cases within a customer’s organization. In order to do this successfully an understanding of a few key technologies is important, namely, machine learning, R, Python, databases, Hadoop and Spark.
Customer Data Scientists engage with the data scientists at prospects and customers to work in different industries and different problems every day. This is a hands-on data scientist role. You are not just doing slide-ware, you’ll be building machine learning pipelines and working with customer to architect enterprise-scale smarter applications for large organizations. Experience seeing the entire lifecycle from conception to design to technology evaluation to pilot program to implementation to maintenance and support is crucial. This person will interact closely with H2O.ai Engineering to provide valuable optimization feedback from customers that will make its way back into H2O products.
Qualifications and Skills
Requires a Masters’ degree or higher in the area of data science, computer science, statistics, mathematics, physics, engineering, operations research or other quantitative field
This is an excellent opportunity to learn about machine learning as a member of our world-class team.