Senior Data Science & Analytics Specialist

KBR•Beavercreek, OH

About The Position

The Senior Data Science & Analytics Specialist supports advanced analytical initiatives by translating complex data science capabilities into actionable insights and recommendations for non-technical stakeholders. The role uses Intelligent Automation (IA), Artificial Intelligence (AI), and Machine Learning (ML) to improve decision-making, streamline workflows, and advance analytical priorities across the organization, the Department of Defense (DoD), and the Intelligence Community (IC). It bridges technical teams and mission stakeholders to integrate analytics capabilities into operational workflows and strategic decisions.

Requirements

Bachelor's or master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related field.
At least 3 years of experience in data analytics, data science, artificial intelligence, machine learning, or related disciplines.
Demonstrated experience translating technical analytical concepts into business- or mission-focused recommendations.
Experience working with large, complex, and diverse datasets.
Proficiency with data analytics and visualization tools such as Python, R, SQL, Tableau, or Power BI.
Knowledge of machine learning techniques, predictive analytics, and automation technologies.
Strong written and verbal communication skills, including executive-level briefing experience.
Ability to work effectively with technical and non-technical stakeholders.
U.S. citizenship.
Active TS/SCI clearance.

Nice To Haves

Master's degree in Data Science, Analytics, Computer Science, Engineering, or a related discipline.
Experience supporting Department of Defense, Intelligence Community, or federal government organizations.
Familiarity with cloud-based analytics platforms and MLOps frameworks.
Experience implementing AI/ML solutions in operational environments.
Professional certifications related to AI, Machine Learning, Data Analytics, or Cloud Technologies.

Responsibilities

Translate complex data science concepts, methodologies, and analytical outputs into clear, actionable insights for senior leaders and non-technical stakeholders.
Develop executive-level briefings, decision-support products, and workflow recommendations based on advanced analytics findings.
Communicate technical risks, opportunities, and implementation considerations in business-focused language.
Support the development of IA, AI, and ML strategies and initiatives.
Identify opportunities to apply advanced analytics, automation, and machine learning to improve mission effectiveness and operational efficiency.
Recommend scalable IA/AI/ML solutions for complex analytical challenges.
Analyze complex datasets from multiple sources across the Center, DoD, and IC.
Develop and implement data-driven workflow strategies that accelerate analytical priorities and improve operational outcomes.
Collaborate with stakeholders to evaluate current processes and integrate advanced analytical capabilities into mission workflows.
Assess performance metrics and refine recommendations based on operational feedback and results.
Prepare and deliver a monthly Data Science & Analytics Progress Report documenting progress, activities, workflow-improvement opportunities, recommendations, risks, dependencies, challenges, mitigations, implementation status, and performance outcomes.
Partner with technical and operational teams across the Center, DoD, and IC.
Provide subject matter expertise on data science, analytics, machine learning, and automation technologies.
Support leadership in prioritizing analytical initiatives and technology investments.