Data Scientist - Secret

Parsons Corporation•Tampa, FL

9d•$112,200 - $196,400

About The Position

Parsons is seeking a Data Scientist to help deliver mission-critical data capabilities for U.S. Government and defense organizations. The role supports the development, deployment, and sustainment of operational data products that help mission partners make informed decisions and execute critical workflows. The Data Scientist works with technical teams and operational users to understand mission needs, integrate and structure complex data, develop user-facing tools, and deliver capabilities that users can adopt and sustain. The position involves building data pipelines, analytical workflows, structured data models, and user-facing applications using Python, SQL, Palantir Foundry, and other approved platforms. It supports the full software development life cycle, from requirements and design through development, testing, deployment, user onboarding, documentation, and sustainment. Solutions should follow sound engineering practices and be secure, maintainable, scalable, and transferable across the team. This position is part of Parsons’ Federal Solutions team, which serves U.S. government customers across defense, security, intelligence, infrastructure, and environmental missions. An active Secret clearance is required; the employee must be able to obtain and maintain a TS/SCI clearance. Candidates must be U.S. citizens.

Requirements

U.S. citizenship.
Active Secret clearance and ability to obtain and maintain a TS/SCI clearance.
Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Information Systems, or another quantitative or technical discipline, plus 7 or more years of related experience; additional relevant experience may be considered in lieu of a degree.
Experience building and delivering data products, software applications, analytical tools, or related technical capabilities.
Strong proficiency in Python, TypeScript, C++, or a similar programming language, and ability to select and apply appropriate tools.
Experience independently delivering user-facing technical products from requirements definition through deployment and sustainment.
Experience working with structured and unstructured data from multiple sources, including identifying and resolving data-quality, integration, and consistency issues.
Ability to communicate technical concepts clearly and collaborate effectively with government customers, technical teams, and operational users.

Nice To Haves

Experience with Palantir Foundry, including data pipelines, Ontology development, Workshop applications, or related platform capabilities.
Experience supporting Department of War or other U.S. Government data, software, or operational-support programs.
Experience with cloud-based data platforms, containerization, CI/CD pipelines, automated testing, or infrastructure automation.
Experience applying data science, analytics, or software-engineering methods in operational, defense, or other mission-critical environments.
Master’s degree or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Information Systems, or another quantitative or technical discipline.
Active TS/SCI clearance.

Responsibilities

Work with government technical teams and operational users to identify mission challenges, clarify requirements, and translate operational needs into data products.
Design, build, test, deploy, and sustain data pipelines, analytical workflows, and user-facing applications.
Ingest, clean, transform, and model structured and unstructured data from inconsistent or fragmented source systems using Python, SQL, and related technologies.
Develop structured data models, ontologies, and analytical datasets for repeatable reporting, decision-making, and operational workflows.
Build and configure dashboards, applications, and other user-facing tools that let nontechnical users interact with data and execute mission workflows.
Develop and deploy solutions using Palantir Foundry and other approved data, analytics, and application-development platforms.
Support the software development life cycle, including requirements analysis, solution design, development, integration, testing, deployment, user onboarding, documentation, and sustainment.
Apply version control, automated testing, documentation, and sound engineering practices to ensure solutions are secure, maintainable, scalable, and transferable across the team.
Collaborate with technical and operational stakeholders to evaluate user feedback, prioritize enhancements, and improve delivered capabilities.