Data Scientist

Role overview Build and improve data capabilities for a platform that monitors and helps operate distributed renewable energy assets. The supplied description focuses on platform engineering rather than data science, so the precise data-science scope of the advertised role is unclear; the work described centers on cloud services, telemetry pipelines, and reliable backend infrastructure.

Responsibilities - Design and maintain scalable cloud infrastructure and backend services. - Develop APIs and event-driven systems that support monitoring and diagnostics. - Ingest and process telemetry from solar, battery, inverter, meter, and IoT devices. - Automate infrastructure, deployments, and continuous integration and delivery. - Improve reliability, observability, security, performance, and operating costs. - Work with product and engineering teams on platform capabilities and technical practices.

Requirements - At least five years in platform or backend engineering, cloud infrastructure, or a related field. - Experience with a major cloud platform such as AWS, Google Cloud, or Azure. - Backend development experience; the source does not provide the specific languages or remaining required qualifications.

Nice to have - Experience with IoT, telemetry, or edge computing. - Background in renewable energy, utilities, or industrial software. - Familiarity with SCADA, MQTT, Modbus, OPC-UA, or other industrial protocols. - Experience building large-scale monitoring or operational platforms.