Senior Data Scientist

KBR, Inc.

. Perform full lifecycle engineering processes including research, analysis, design, development, unit testing, Verification and Validation (V&V) integration testing, training, deployment, documentation, and recommendations to the Government for HawkeyeFlight software .

Posted 9/15/2026full-timeRemote • Maryland • United StatesSenior💰 $140,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying machine learning and natural language processing solutions, with a strong focus on data analysis, predictive analytics, and compliance with government requirements. Proficient in creating analytical dashboards and visualizations to communicate findings effectively to diverse audiences.

Highest-signal resume keywords

Machine Learning Model DevelopmentNatural Language Processing (NLP)Data Cleansing and NormalizationPython and SQL ProficiencyStatistical Learning Models (SLM)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningPredictive AnalyticsStatistical Learning Models (SLM)Data AnalysisData VisualizationData CleansingFeature EngineeringExploratory Data AnalysisCloud-Based AnalyticsAgile Methodologies

Soft Skills

CollaborationCommunicationProblem-SolvingAnalytical ThinkingPresentation Skills

Tools & Technologies

PythonSQLAWS AthenaAWS LambdaDatabricksApache SparkMLOpsCI/CD PipelinesJupiter CloudRetrieval Augmented Generation (RAG)

Certifications & Qualifications

Active Secret Security Clearance

Industry Keywords

Data ScienceArtificial IntelligenceU.S. NavyAviation MaintenanceLogisticsSustainmentCondition-Based Maintenance Plus (CBM+)Operational AnalyticsGovernment ComplianceCybersecurity

Tech Stack

Tools & technologies

ApacheAWSCloudCyber SecurityPythonSparkSQL

About the role

Key responsibilities & impact

Perform full lifecycle engineering processes including research, analysis, design, development, unit testing, Verification and Validation (V&V) integration testing, training, deployment, documentation, and recommendations to the Government for HawkeyeFlight software
Develop and deploy machine learning, natural language processing (NLP), predictive analytics, and statistical learning model (SLM) solutions
Design, develop, train, validate, and deploy machine learning and statistical learning models
Develop NLP solutions for maintenance documentation, technical publications, operational reports, and other unstructured data
Create predictive and prescriptive analytics algorithms for maintenance forecasting, reliability analysis, readiness reporting, and anomaly detection
Perform data cleansing, normalization, enrichment, quality assessment, and validation across enterprise data sources
Develop feature engineering methodologies to improve machine learning model performance and accuracy
Build and maintain data pipelines for ingestion, transformation, model training, and analytics delivery
Conduct exploratory data analysis and statistical evaluations to identify trends, correlations, and operational insights
Collaborate with software developers and systems engineers to operationalize AI/ML solutions in production environments
Support migration and modernization involving cloud-native architectures and secure government-hosted environments
Create analytical dashboards, visualizations, reports, and executive briefings
Participate in Agile activities including requirements analysis, sprint planning, testing, demonstrations, and release readiness reviews
Support model governance, traceability, performance validation, and continuous improvement
Ensure compliance with data governance, cybersecurity, and government requirements
Support modernization and advancement of data analytics capabilities for a U.S. Navy aviation sustainment program

Requirements

What you’ll need

Must be a US Citizen with an active/current Secret Clearance or ability to obtain and maintain
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or related technical discipline
Minimum 5 years of experience developing data science, machine learning, or advanced analytics solutions
Experience developing and deploying machine learning models in production environments
Experience with Statistical Learning Models (SLM), predictive analytics, and forecasting methodologies
Experience with Natural Language Processing (NLP), text analytics, semantic search, or large language model implementations
Proficiency in Python and SQL
Experience performing data cleansing, normalization, and quality improvement activities across large datasets
Experience with structured and unstructured data analysis
Experience developing data visualizations and presenting findings to technical and non-technical audiences
Knowledge of cloud-based analytics architectures and data platforms
Preferred: Master's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or related discipline
Preferred: Experience supporting Jupiter cloud-hosting environments
Preferred: Experience with Databricks, AWS Athena, AWS Lambda, AWS GovCloud, OpenTofu or Infrastructure-as-Code frameworks, Retrieval Augmented Generation (RAG), Apache Spark, distributed data processing, MLOps, CI/CD pipelines, and automated model deployment
Preferred: Experience supporting Department of Defense, U.S. Navy, aviation maintenance, logistics, sustainment, or readiness programs
Preferred: Experience supporting Condition-Based Maintenance Plus (CBM+) or predictive maintenance initiatives
Preferred: Knowledge of technical publications, maintenance data, logistics data, or operational analytics ecosystems
Preferred: Active Secret Security Clearance

Benefits

Comp & perks

Additional compensation may include a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance
401K plan with company match
Medical insurance
Dental insurance
Vision insurance
Life insurance
AD&D insurance
Flexible spending account
Disability benefits
Paid time off
Flexible work schedule
Professional training and development
Career advancement support