Senior Data Scientist

Senior Data ScientistParsons 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.Data Science, Analytics & ModelingDesign and implement data science workflows and analytics to support C-UAS detection, tracking, classification, and decision-supportDevelop and apply statistical, machine learning, and optimization techniques to extract insight from multi-source sensor, RF, telemetry, and operational dataBuild, evaluate, and refine models for anomaly detection, threat assessment, and system performance prediction in real-time or near-real-time environmentsTranslate mission and system requirements into data-driven approaches, metrics, and analytic products consumable by operators, engineers, and leadershipData Engineering, Interoperability & Data MeshDesign and implement data pipelines for ingestion, transformation, enrichment, and distribution of data across a data mesh architectureEngineer data interoperability solutions across heterogeneous systems, sensors, and platforms, using common data models, schemas, and open standards where appropriateCollaborate 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 systemsEnsure data solutions are robust, secure, maintainable, and aligned with program architecture, performance, and interoperability standardsCloud 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 deploymentOptimize data and analytics workloads for resilience, performance, and cost within cloud-based infrastructuresIntegrate on-premise, edge, and cloud components into cohesive end-to-end data and analytics solutions for mission operationsData Tagging, Governance & QualityDesign and implement data tagging strategies (e.g., metadata, security labels, lineage tags) to support discoverability, access control, and policy complianceDefine and enforce data quality metrics, validation rules, and monitoring to ensure the reliability of analytics and downstream decision-makingWork with stakeholders to establish data governance practices, including data cataloging, classification, and lifecycle managementSupport the creation of well-documented, reusable data products and datasets within the data meshCollaboration, Visualization & CommunicationWork closely with systems engineers, RF engineers, software developers, and operators to understand mission needs and translate them into data and analytics requirementsDevelop visualizations, dashboards, and analytic reports that clearly communicate complex findings to both technical and non-technical audiencesMentor junior data scientists and data engineers, providing technical guidance on methods, tools, and best practicesContribute to technical reviews, design walkthroughs, and continuous improvement of data science and data engineering practicesEducationMaster's degree in Computer Science, Electronics Engineering, or other engineering or technical discipline is required OR8 years of relevant experience in data science, data engineering, or related fields may be substituted for educationExperienceExperience applying data and engineering sciences, mathematics, and electronic phenomena to real-world systems or mission problemsExperience designing and implementing data pipelines and data interoperability solutions in complex, multi-system environmentsExperience with cloud-based or hybrid data and analytics solutions, including data storage, processing, and model deploymentExperience working with data mesh or similar distributed data architectures, including data product design and governanceExperience with data tagging, metadata management, and data cataloging to support discoverability, security, and complianceExperience reacting to and resolving data-related issues (e.g., quality, latency, integrity, model performance) in complex or mission-critical systemsTechnical 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 frameworksStrong understanding of data engineering concepts: ETL/ELT, streaming, batch processing, APIs, and event-driven data flowsFamiliarity 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 plusStrong analytical and communication skills, capable of explaining complex data and model behavior, trade-offs, and limitations to both technical and non-technical stakeholdersSecurity & CitizenshipMust be a US CitizenAbility to obtain and maintain a security clearance (SECRET or higher; specific level may be defined by program requirements)Desired SkillsMaster's or higher degree in Data Science, Computer Science, Electrical/Electronics Engineering, or related disciplineProfessional certifications in cloud platforms, data engineering, or data science/MLExperience supporting DoD, defense, ISR, C-UAS, or other mission/operations-focused data and analytics systemsExperience working with multi-sensor or multi-int data fusion, track management, or situational awareness systemsExperience implementing data mesh or data fabric strategies in distributed, real-time, or high-availability environmentsExperience 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 deploymentFamiliarity with Agile/Scrum methodologies and modern issue tracking/ALM toolsExperience with visualization and BI tools (e.g., Grafana, Kibana, Power BI, Tableau, or similar) for operational and analytic dashboardsSalary Range: $112,200.00 - $196,400.00We 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.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to