Data Scientist, Mid

Booz Allen Hamilton•Reston, VA

2d•$77,600 - $176,000

About The Position

The Data Scientist will serve as technical support for a data science mission, building and supporting cloud-native platforms and environments that enable data scientists to experiment, analyze data, and operationalize insights. The role focuses on scalable compute, automated workflows, reproducible environments, governed data access, and secure cloud infrastructure. The position works closely with data scientists and integrates platform capabilities into their workflows to 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 (IaC), 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, venv, or package management, and reproducible execution patterns.
Active TS/SCI clearance and willingness to take a polygraph exam.
Bachelor's degree with 8+ years of experience in data analytics, or 12+ years of data analytics experience 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, 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 certifications, including Solutions Architect, DevOps Engineer, SysOps, or ML Specialty Certification.

Responsibilities

Build and support cloud services and platform environments for data scientists.
Enable data scientists to experiment, iterate, explore datasets, develop analytical logic, and operationalize insights.
Design environments for notebook use and analytical workflows, ensuring platform capabilities integrate with data science work.
Support secure, scalable, automated, and reproducible data science operations.
Potentially guide cloud deployment workstreams and collaborate with data scientists, cloud engineers, and security teams (listed as a preferred qualification).