Operations Data Scientist

Operations Data Scientist

The primary purpose of this position is to support the Director, Office of Performance Excellence with integrating emerging technologies and innovative practices to improve the management, analysis, and presentation of the Department's enterprise-wide performance data for better data-driven decision making, efficiency, and customer experience. As a Operations Data Scientist, you will:

• Apply advanced analytical methods to diverse operational datasets to support data driven decision-making and improve customer experience. Develop advanced analytical models and leads data process improvement initiatives to address critical agency challenges and enhance operational effectiveness.
• Collect and analyze complex data from multiple sources using a wide range of analytical techniques to generate actionable insights. Plans and executes analytical projects and delivers findings and recommendations to leadership.
• Lead the management of enterprise-wide KPI databases, including data architecture, integrity, and lifecycle processes.
• Direct data extraction, processing, and integration efforts across multiple sources. Design and implements advanced data pipelines using tools such as R, Python, or SQL.
• Integrate data across systems to support analysis, reporting, and operational decision making. Design and deliver enterprise-level dashboards and analytic products for decision support using tools like Power BI.
• Communicate trends, findings, and insights, verbally and in writing, to senior leadership and other stakeholders.
• Collaborate with cross-functional stakeholders to gather requirements and ensure solutions meet operational needs.
• Produce actionable recommendations based on analysis and reporting.
• Establish and maintain data governance frameworks, including policies and standards for data classification, management, and access. Ensure data quality, integrity, and consistency across enterprise systems.
• Identify and resolve data gaps to improve completeness and reliability of datasets. Support compliance and lifecycle management of performance data.