Senior Data Scientist

Job not on LinkedIn

🔥 16 hours ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KBR, Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1901

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

KBR, Inc. is a global company that provides science, technology, and engineering solutions to governments and companies worldwide. Renowned for its commitment to sustainability, KBR delivers innovative and high-quality solutions in areas such as sustainable technology, government solutions, and digital acceleration. KBR is dedicated to creating a diverse and inclusive work environment, valuing its employees and fostering a culture of integrity and operational excellence. With a strong focus on delivering sustainable value for stakeholders, KBR operates as a trusted partner in various industries.

📋 Description

• 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

• 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

• 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