Senior Data Scientist

Job Description: Parsons is seeking a Senior Data Scientist to support our cutting-edge Drone Armor counter-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 & ModelingDesign 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 MeshDesign 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 PlatformsArchitect 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 & QualityDesign 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 & CommunicationWork 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 BringEducationMaster’s degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is requiredOR 8 years of relevant experience in data science, data engineering, or related fields may be substituted for education ExperienceExperience 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 Technical CompetenciesProficiency 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 Security & CitizenshipMust be a US Citizen Ability to obtain and maintain a security clearance (SECRET or higher; specific level may be defined by program requirements) What Desired Skills You’ll BringAdvanced Education & CertificationsMaster’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 Specialized ExperienceExperience 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 Additional Technical SkillsExperience 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 Security Clearance RequirementAn active Secret security clearance is required for this position.

Salary Range: $112,200.00 - $196,400.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.