Senior Data Scientist Security Clearance
Job in
Aberdeen, Harford County, Maryland, 21001, USA
Listed on 2026-07-28
Listing for:
Parsons
Full Time
position Listed on 2026-07-28
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.
Job Description:
Parsons is seeking a Senior Data Scientist to support our cutting-edge Drone Armor counter-unmanned aerial systems (C-UAS) program. This role provides professional scientific data engineering and data science, requiring the application of data and engineering sciences, mathematics, and electronic phenomena to design, implement, and optimize data-centric capabilities. The Senior Data Scientist will focus on software coding, data interoperability, cloud technology, data mesh, and data tagging to enable advanced analytics, decision-support, and mission effectiveness.
What You'll Be Doing
Data Science, Analytics & Modeling
* Design and implement data science workflows and analytics to support C-UAS detection, tracking, classification, and decision-support
* Develop and apply statistical, machine learning, and optimization techniques to extract insight from multi-source sensor, RF, telemetry, and operational data
* Build, evaluate, and refine models for anomaly detection, threat assessment, and system performance prediction in real-time or near-real-time environments
* Translate mission and system requirements into data-driven approaches, metrics, and analytic products consumable by operators, engineers, and leadership
Data Engineering, Interoperability & Data Mesh
* Design and implement data pipelines for ingestion, transformation, enrichment, and distribution of data across a data mesh architecture
* Engineer data interoperability solutions across heterogeneous systems, sensors, and platforms, using common data models, schemas, and open standards where appropriate
* Collaborate on the design and implementation of a data mesh or data fabric for Drone Armor, enabling discoverable, shareable, and governed data products across teams and systems
* Ensure data solutions are robust, secure, maintainable, and aligned with program architecture, performance, and interoperability standards
Cloud Technology & Data Platforms
* Architect and implement data pipelines, storage, and analytics capabilities in cloud or hybrid environments (e.g., commercial, tactical, or private cloud)
* Leverage cloud-native services and technologies for scalable data processing, streaming, and model deployment
* Optimize data and analytics workloads for resilience, performance, and cost within cloud-based infrastructures
* Integrate on-premise, edge, and cloud components into cohesive end-to-end data and analytics solutions for mission operations
Data Tagging, Governance & Quality
* Design and implement data tagging strategies (e.g., metadata, security labels, lineage tags) to support discoverability, access control, and policy compliance
* Define and enforce data quality metrics, validation rules, and monitoring to ensure the reliability of analytics and downstream decision-making
* Work with stakeholders to establish data governance practices, including data cataloging, classification, and lifecycle management
* Support the creation of well-documented, reusable data products and datasets within the data mesh
Collaboration, Visualization & Communication
* Work closely with systems engineers, RF engineers, software developers, and operators to understand mission needs and translate them into data and analytics requirements
* Develop visualizations, dashboards, and analytic reports that clearly communicate complex findings to both technical and non-technical audiences
* Mentor junior data scientists and data engineers, providing technical guidance on methods, tools, and best practices
* Contribute to technical reviews, design walkthroughs, and continuous improvement of data science and data engineering practices
What Required Skills You'll Bring
Education
* Master's degree in Computer Science, Electronics Engineering, or other…
Position Requirements
10+ Years
work experience
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