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# Senior Data Scientist

- **Company:** Parsons Corporation
- **Location:** Aberdeen, MD, United States
- **Experience:** Expert
- **Salary:** $112,200.0 - $196,400.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Business Analytics Applications, Systems Engineering, Batch Processing, Cloud Computing, Cloud Database, Databases, Information Engineering, Data Fusion, Data Governance, Extract Transform Load (ETL), Data Systems, Distributed Data Store, Issue Tracking Systems, Interoperability, Python (Programming Language), Machine Learning, Meta-Data Management, Operational Data Store, Scrum Methodology, Software Architecture, Power BI, Software Requirements Analysis, Data Streaming, Tableau (Software), Data Processing, Data Storage Technologies, Grafana, Apache Spark, Microsoft Fabric, Containerization, Data Lakes, Kubernetes, Information Technology, Optimization Algorithms, Apache Flink, Data Analytics, Apache Nifi, Data Management, Machine Learning Operations, Kibana, Software Coding, Data Pipelines, Serverless Computing, Docker
- **Published:** July 28, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9059874/senior-data-scientist

## About the Role

* Master's degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required
OR

 * 8 years of relevant experience in data science, data engineering, or related fields may be substituted for education

 * Experience applying data and engineering sciences, mathematics, and electronic phenomena to real-world systems or mission problems
 * Experience designing and implementing data pipelines and data interoperability solutions in complex, multi-system environments
 * Experience with cloud-based or hybrid data and analytics solutions, including data storage, processing, and model deployment
 * Experience working with data mesh or similar distributed data architectures, including data product design and governance
 * Experience with data tagging, metadata management, and data cataloging to support discoverability, security, and compliance
 * Experience reacting to and resolving data-related issues (e.g., quality, latency, integrity, model performance) in complex or mission-critical systems

 * Proficiency in one or more languages commonly used for data science and data engineering (e.g., Python, R, Scala, or similar), including use of relevant libraries and frameworks
 * Strong understanding of data engineering concepts: ETL/ELT, streaming, batch processing, APIs, and event-driven data flows
 * Familiarity with cloud data and analytics services (e.g., managed databases, data lakes, streaming services, containerized processing)
 * Knowledge of data modeling, schemas, and standards used in sensor, RF, telemetry, or ISR/C2 environments is a plus
 * Strong analytical and communication skills, capable of explaining complex data and model behavior, trade-offs, and limitations to both technical and non-technical stakeholders

 * Must be a US Citizen
 * Ability to obtain and maintain a security clearance (SECRET or higher; specific level may be defined by program requirements)

 * Master's or higher degree in Data Science, Computer Science, Electrical/Electronics Engineering, or related discipline
 * Professional certifications in cloud platforms, data engineering, or data science/ML

 * Experience supporting DoD, defense, ISR, C-UAS, or other mission/operations-focused data and analytics systems
 * Experience working with multi-sensor or multi-int data fusion, track management, or situational awareness systems
 * Experience implementing data mesh or data fabric strategies in distributed, real-time, or high-availability environments

 * Experience with data processing and orchestration tools (e.g., Airflow, NiFi, Spark, Flink, or similar)
 * Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for data and model deployment
 * Familiarity with Agile/Scrum methodologies and modern issue tracking/ALM tools
 * Experience with visualization and BI tools (e.g., Grafana, Kibana, Power BI, Tableau, or similar) for operational and analytic dashboards

An active Secret security clearance is required for this position.

## 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.

 * 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

 * 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

 * 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

 * 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

 * 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


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