Data Scientist, Senior

Booz Allen Hamilton • Reston, VA

9d • $112,800 - $257,000

About The Position

As a senior Data Scientist, you will provide the technical backbone for a data science mission by building and supporting scalable, secure, cloud-native platforms. You will work directly with a data science team to enable experimentation, iteration, and operationalization of insights through well-architected cloud services. You will shape environments for running notebooks, exploring datasets, and developing analytical logic, and ensure these capabilities integrate seamlessly. By designing platforms around data scientists’ needs, you will help accelerate the delivery of insights to mission stakeholders.

Requirements

• 8+ years of experience supporting data science, analytics environments, platform engineering, or cloud-native operations.
• Experience architecting and administering IL6 or IL7 cloud environments, such as AWS regions or Azure Government.
• Experience designing and enforcing strict IAM and least-privilege access across multi-tenant environments.
• Experience developing CI/CD pipelines using GitLab CI, Jenkins, AWS CodePipeline, Git, or GitHub Actions.
• Experience with Kubernetes such as EKS or AKS, including runner orchestration and containerized workflow execution.
• Knowledge of infrastructure as code, compliance automation, and configuration hardening.
• Knowledge of automated testing, vulnerability scanning, artifact management, and environment promotion.
• Knowledge of Python-based environments such as Jupyter, conda, or venv, including package management and reproducible execution patterns.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor's degree and 8+ years of experience with data analytics, or 12+ years of experience with data analytics in lieu of a degree.

Nice To Haves

• Experience deploying and orchestrating workloads in Kubernetes or Red Hat OpenShift clusters.
• Experience building containerized analytical tools or reproducible scientific environments.
• Experience configuring observability for platform performance using tools such as Prometheus, Grafana, or OpenTelemetry.
• Experience guiding platform modernization efforts or leading technical delivery teams.
• Experience enabling and supporting data scientists in AWS using services such as S3, EC2, IAM, Lambda, EKS or ECS, and CloudWatch.
• Experience preparing and maintaining System Security Plans (SSPs) and documentation for Risk Management Framework (RMF) and Authority to Operate (ATO) processes.
• Knowledge of mission-related datasets, including SIGINT, GEOINT, HUMINT, or OSINT.
• Knowledge of Git, including collaborative workflows and version-control best practices.
• Ability to lead cloud deployment workstreams and collaborate closely with data scientists, cloud engineers, and security teams.
• AWS certification such as Solutions Architect, DevOps Engineer, SysOps, or ML Specialty.

Responsibilities

• Build and support cloud platforms and environments that enable data scientists to experiment, iterate, and operationalize insights.
• Shape environments for running notebooks, exploring datasets, and developing analytical logic.
• Ensure data science capabilities integrate seamlessly within secure, cloud-native infrastructure.
• Support scalable compute, automated workflows, reproducible environments, governed data access, and secure infrastructure.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior