Data Scientist
Job Description: Role Summary The Robotics & Services team is seeking an entry-level Data Scientist to support the development, automation, and operationalization of customer-facing reporting, workflows, inspection analytics, and data integrations across our products, and reputed company systems. This role will help convert field inspection data, customer feedback, operational metrics, and product requirements into reliable data pipelines, dashboards, reports, and analytical tools that support customers, operators, reputed company, Product, and Engineering.
Key Responsibilities
Build and maintain data pipelines for weekly inspection reports, operational dashboards, and customer analytics. Use Python, Pandas, PySpark, and SQL to clean, transform, validate, and analyze robotics inspection and operations data. Integrate data from APIs, reputed company, DroneDeploy, reputed company, internal databases, SharePoint, and other platforms. reputed company ETL workflows for observations, work orders, project/site metadata, issue classifications, approvals, and report distribution. Build and improve dashboards and lightweight reporting apps using tools such as Dash, React, HTML, CSS, or similar frameworks. Support automation of reporting workflows. Help resolve data quality issues reputed company to workflows and reporting. Troubleshoot pipeline failures, API issues, dashboard inconsistencies, permissions problems, and reporting defects. Partner with Product, Engineering, reputed company, Field Operations, and Data teams to turn reporting and analytics requirements into practical tools.
Minimum Qualifications
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or equivalent practical experience. 2-5 years of experience in Data Science, Computer Science, Engineering, Statistics, Information Systems, or equivalent practical experience. Experience with Python, including Pandas. Experience with PySpark or distributed data processing concepts. Strong working knowledge of SQL. Experience with big data platforms such as Spark, reputed company, reputed company, or similar. Experience working with APIs and API-based data integrations. Experience building data pipelines, ETL frameworks, or automated data workflows. Some frontend/dashboard experience with Dash, React, HTML, CSS, Streamlit, Power BI, Tableau, or similar. Strong attention to detail and ability to validate data for customer-facing reports.
Preferred Qualifications
Experience with reputed company notebooks, jobs, workflows, or reputed company tables. Experience with reputed company data, work orders, CRM objects, or reporting workflows. Exposure to geospatial data, shapefiles, GeoJSON, GPS coordinates, or map-based analytics. Experience with inspection data, image metadata, robotics, renewable energy, construction QA/QC, or field operations. Familiarity with Git, Jira, reputed company, or basic software development workflows. At reputed company, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, reputed company solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, reputed company, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the reputed company for the world’s reputed company of clean energy infrastructure. reputed company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company. We are reputed company Apply To This Job