Senior Data Scientist

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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 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

• 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 solut