Data Scientist

Required Clearance: Secret
Required Education: Bachelor’s Degree
Required Experience: Minimum of 1 year of experience

Position Description

 
PingWind is seeking a Data Scientist I who will provide technical, analytical, and lifecycle support to the Maritime Electronic Warfare Systems Division (MEWSD) for critical U.S. Navy Electromagnetic Warfare (EW), Decoy, and Surface Electronic Warfare Improvement Program (SEWIP) systems. This role supports cradle-to-grave activities, including engineering, technology transition, installation, logistics, product support, test and evaluation, sustainment, maintenance, and repair. The Data Scientist I will integrate logistics, data science, reliability and maintainability engineering, and operations research to analyze and model complex systems, improve operational availability, and support data-driven decisions. This position directly contributes to optimizing warfighting capability, system readiness, reliability, and lifecycle performance while balancing mission requirements, performance, and cost.

Responsibilities

Typical Responsibilities/Tasks:
•    Develop and implement analytical techniques and applications that transform raw data into meaningful, actionable information supporting operational and program decision-making.
•    Apply data mining, data modeling, statistical analysis, natural language processing (NLP), and machine learning techniques to analyze large structured and unstructured datasets.
•    Use data-oriented programming languages and analytical tools to collect, process, integrate, analyze, and interpret complex datasets.
•    Develop data models and algorithms to identify trends, patterns, relationships, anomalies, risks, and performance indicators.
•    Create effective data visualizations, dashboards, and dynamic reports that communicate complex analytical findings to technical and non-technical stakeholders.
•    Interpret analytical results and provide data-driven findings and recommendations to support system performance, readiness, reliability, maintainability, and operational availability.
•    Integrate logistics, engineering, maintenance, reliability, and operational data to support lifecycle management and sustainment analysis.
•    Develop and maintain repeatable analytical processes, models, and reporting solutions that improve data quality, consistency, traceability, and accessibility.
•    Collaborate with logisticians, engineers, operations research analysts, and program personnel to translate mission and business requirements into analytical solutions.
•    Prepare and present technical reports, analyses, visualizations, and briefings that enable timely, informed decision-making and continuous performance improvement.

Required Qualifications