Data Scientist, Senior

Booz Allen Hamilton•Reston, VA

8d•$112,800 - $257,000

About The Position

The Senior Data Scientist will serve as the technical backbone of the data science mission by building and supporting secure, cloud-native platforms for data science teams. The role enables data scientists to experiment, iterate, and operationalize insights through well-architected cloud services and integrated environments for notebooks, dataset exploration, and analytical development. The position focuses on scalable compute, automated workflows, reproducible environments, governed data access, and secure infrastructure to accelerate delivery of insights to mission stakeholders. The role is based in Reston, Virginia, and is not listed as remote. An active TS/SCI clearance is required, and selected applicants may be subject to a security investigation and may need to meet eligibility requirements for access to classified information. A polygraph exam may be required. Booz Allen describes its benefits as including health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Eligibility for benefit programs depends on hours worked.

Requirements

At least 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, package management, and reproducible execution patterns.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor’s degree and at least 8 years of experience with data analytics, or at least 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 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 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 designed around data scientists’ needs.
Enable data science teams to experiment, iterate, and operationalize insights through well-architected cloud services.
Shape and integrate environments for running notebooks, exploring datasets, and developing analytical logic.
Support scalable compute, automated workflows, reproducible environments, governed data access, and secure cloud-native infrastructure.
Potentially guide platform modernization efforts and lead technical delivery, as preferred qualifications.