Data Scientist III

PingWind Inc. (SDVOSB)

. Provide technical, analytical, and lifecycle support to the Maritime Electronic Warfare Systems Division (MEWSD) for U.S.

Posted 9/29/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data mining, statistical analysis, and machine learning to support Maritime Electronic Warfare Systems. Proficient in developing data models, visualizations, and reports to enhance system performance and operational readiness.

Highest-signal resume keywords

Data MiningStatistical AnalysisNatural Language Processing (NLP)Machine LearningData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAnalytical TechniquesAlgorithm DevelopmentData AnalysisData Processing

Soft Skills

CollaborationPresentation SkillsAnalytical Thinking

Tools & Technologies

Data-Oriented Programming LanguagesAnalytical Tools

Certifications & Qualifications

Secret Clearance

Industry Keywords

Maritime Electronic WarfareLogisticsReliability EngineeringMaintainability EngineeringOperations Research

About the role

Key responsibilities & impact

Provide technical, analytical, and lifecycle support to the Maritime Electronic Warfare Systems Division (MEWSD) for U.S. Navy Electromagnetic Warfare, Decoy, and SEWIP systems
Support cradle-to-grave activities including engineering, technology transition, installation, logistics, product support, test and evaluation, sustainment, maintenance, and repair
Develop and implement analytical techniques and applications that transform raw data into actionable information
Apply data mining, data modeling, statistical analysis, NLP, and machine learning to large structured and unstructured datasets
Collect, process, integrate, analyze, and interpret complex datasets using data-oriented programming languages and analytical tools
Develop models and algorithms to identify trends, patterns, relationships, anomalies, risks, and performance indicators
Create data visualizations, dashboards, and dynamic reports for technical and non-technical stakeholders
Provide data-driven findings and recommendations supporting system performance, readiness, reliability, maintainability, and operational availability
Integrate logistics, engineering, maintenance, reliability, and operational data for lifecycle management and sustainment analysis
Develop and maintain repeatable analytical processes, models, and reporting solutions
Collaborate with logisticians, engineers, operations research analysts, and program personnel
Prepare and present technical reports, analyses, visualizations, and briefings

Requirements

What you’ll need

Required Clearance: Secret
Required Education: Master’s Degree
Minimum of 10 years of experience
Experience integrating logistics, data science, reliability and maintainability engineering, and operations research
Experience with data mining, data modeling, statistical analysis, natural language processing (NLP), and machine learning
Proficiency with data-oriented programming languages and analytical tools
Ability to analyze large structured and unstructured datasets
Ability to develop data models and algorithms
Ability to create data visualizations, dashboards, and dynamic reports
Ability to prepare and present technical reports, analyses, visualizations, and briefings

Benefits

Comp & perks

Eleven Federal Holidays
Paid Time Off accrued each pay period
Parental Leave
Three medical plan choices with generous employer contribution
Dental and Vision Insurance
Company paid Short-Term and Long-Term Disability
Company paid Life and AD&D Insurance
401k with competitive matching and vesting schedule
Continuing education assistance
Medical, Dependent Care and Commuter Flexible Spending Accounts
Employee Assistance Program
Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
529 College Savings Plan
Legal Insurance
Pet Insurance