Senior Data Scientist

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 engineering or technical discipline is requiredOR8 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…