Job Description

Unravel is a self-service DataOps solution for data engineers and users. It's an expert-in-a-box that uses innovative and patented algorithms and ML to monitor, analyze, recommend, and automatically tune data applications running on-prem, hybrid, or in the cloud. Unravel uses advanced Data Science within its platform to provide insights to data users for improving application performance, resource utilization, data layout, cost, cloud migration, workflow analysis, and several more. Unravel is actively used and deployed by several brand name Fortune 500 companies for several years. Top VCs such as Menlo Ventures, GGV Capital, and Microsoft Ventures back our company. You will be contributing to Unravel Data Science insights by leading research and development of notebooks and python scripts for creating observability reports and operational insights. You will use real-world datasets to find interesting correlations among observability metrics and develop innovative DataOps insights.