Data Science P4 - Senior Oracle Analytics Server; OAS Developer
Listed on 2025-12-28
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager
Data Science P4 - Senior Oracle Analytics Server (OAS) Developer
02-Dec-2025
10524
Who We AreAs the Savannah River Site's management and operations contractor since 2008, Savannah River Nuclear Solutions (SRNS) makes the world safer. With safety and security in the forefront, SRNS develops innovative approaches to deliver on our environmental commitments and nuclear materials challenges; supplies products and services necessary to maintain the nation's nuclear deterrent; secures nuclear materials to prevent unwanted proliferation; and transforms nuclear materials into assets and stable waste forms.
The SRNS workforce is highly capable, engaged, and adaptable to meet existing and expanding missions. SRNS employees apply superior expertise and innovative solutions to complex and challenging national and global issues. We have the knowledge to address a range of national and international nuclear issues. We make the world safer - and you can, too.
Information & Operations Tech
DisciplineData Science
Career LevelP4
Salary Range$99,400 - $144,000
Note for SalaryThis is the range within which SRNS expects the majority of qualified candidates would enter this role if offered. Actual offers may be more or less than the amounts shown depending on candidate's qualifications, experience, internal equity, and other factors.
Job Family DescriptionInformation Technology / Operations Technology (IT/OT) professionals sculpt the technological framework of the organization through the creation and management of scalable and secure information systems. Charged with the development and deployment of solutions, they analyze short- and long-term requirements to enhance system functionality and efficiency. They design and refine software applications, ensuring integration with existing architectural paradigms while also developing network systems and infrastructure to support business needs.
IT/OT personnel manage the organization's IT/OT landscape, guaranteeing the reliable operation of servers, databases, and other components of the technology ecosystem. By maintaining a secure and robust IT/OT infrastructure, they uphold the integrity and confidentiality of data while facilitating connectivity and accessibility. Information Technology / Operations Technology personnel continually adapt to technological advancements, ensuring the organization stays at the forefront of emerging IT/OT trends and is well-equipped to meet future challenges while maintaining secure and stable operations.
Description
Data science professionals are responsible for mining valuable insights from data by converting data inquiries into a structured analytical dataset that supports organizational decision-making, regulatory reporting, advanced modeling, and visual representations. Essential competencies include collecting and organizing analytical data through data management platforms, ensuring data accuracy and integrity, contributing to the interpretation and proper use of data, aiding in the creation of data analysis and sampling strategies, engineering tools for efficient data pipeline utilization, offering important observations related to essential business performance indicators, collaborating with stakeholders to accommodate their data system requirements while resolving data-centric technical hurdles, and effectively presenting analytical findings to meet regulatory standards.
These professionals are expected to work in collaboration with users, various technical teams, and stakeholders to perform their roles successfully and manage the data system effectively. They should also be innovative in problem-solving to deliver reliable and technically sound outcomes.
- Responsible for developing, implementing, and improving technical solutions within Oracle Analytics Server (OAS) for functional areas across SRNS.
- Collaborate with various organizations including but not limited to Finance, Workforce Services, Supply Chain, and Project Controls, to gather data requirements, design data models, and ensure integration with existing systems.
- Translate complex analytical concepts and insights to both technical and…
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