Christopher C Skinner
Experienced Data Science Lead with over 20 years at USGS, specializing in IT systems, GIS, data management, and innovation. I lead data release efforts, manage internal/external data systems, and develop tech-driven solutions to enhance decision-making. Passionate about leveraging AI, cloud tools, and collaborative approaches to improve organizational efficiency and reporting.
I have been with the U.S. Geological Survey (USGS) since 1999, starting as a contractor focused on GIS and data management. While pursuing a master's degree, I transitioned into a student career position. In 2003, I became an IT Specialist, responsible for system administration, development tasks, and database management.
From 2003 to 2021, I contributed to the design of systems for geospatial data management, publications management, geochemistry databases, seismic catalogs, and well logs, as well as internal and external web applications. These systems improved workflows, reduced redundancies, and enhanced the user experience. Many were pioneering applications developed before the trend toward data openness. In recognition of this work, our team received the 'Special Achievement in GIS' award from ESRI president Jack Dangermond in 2003. I also managed Oracle administration and technical transitions that improved the efficiency and accuracy of data management.
Since 2021, I have led the Program Database task, focusing on managing a database contract with SP Global (previously IHS or IHS Markit). At an annual cost of $2.7 million, this database supports the Energy Program's subsurface research portfolio in oil and gas, water, carbon capture and storage, and geothermal. As the main point of contact for data access, I facilitate communication between teams and ensure the database aligns with organizational standards while adapting to stakeholders' needs.
In 2021, I transitioned into data release management, ensuring data produced by USGS met high-quality standards and complied with federal policies. I improved data review and publication processes, streamlining workflows and collaborating closely with scientists and data professionals.
In 2022, I was promoted to lead the Data Management Group, overseeing a small team responsible for internal and external data systems. This includes setting priorities and ensuring we meet the science center’s needs within a limited budget.
In November 2023, I was designated as the Data Science Lead, guiding the integration of new technologies to support data-driven decision-making. I focus on developing efficiencies using cloud-based solutions, AI, and other emerging technologies while fostering collaboration across teams.
Throughout my career, I have applied data analytics skills through Python and ArcGIS to support data quality efforts. I often leverage large language models (LLMs) to draft initial solutions, which my team and I refine into final implementations.
Outside of work, I enjoy road racing, mountain biking, and cyclocross, pushing my capabilities. I also love spending time outdoors with my wife and two kids, one of whom shares my enthusiasm for trail riding.
