Build, test, and support Databricks data pipelines that ingest, clean, validate, and organize source data into reusable datasets for analytics, reporting, and automation. Document pipelines and business rules, resolve data quality issues, coordinate with stakeholders and senior engineers, and own assigned work through delivery and production support.
Develop, test, deploy, and maintain applications, automation, integrations, dashboards, and user interfaces using Python, JavaScript, Google Apps Script, SQL, APIs, and modern web frameworks. Collaborate with government stakeholders and senior developers to refine requirements, deliver work in Agile sprints, support production tools, and document code.
Design, build, and maintain enterprise data platforms and pipelines using Databricks and Google Cloud Platform. Collaborate with federal stakeholders to deliver secure, scalable data products that support analytics, AI, and operational decision-making.
The Senior Data Scientist will translate mission questions into analytical approaches and develop AI-enabled capabilities for federal enterprise data modernization. They will perform statistical analysis, build predictive models, and deliver actionable insights to stakeholders through visualizations and reports.
