Data Scientist, Mid

Booz Allen Hamilton•Reston, VA

3d•$77,600 - $176,000•Onsite

About The Position

The Data Scientist will provide technical platform support to a data science team, enabling experimentation, iteration, and operationalization of insights through well-architected cloud services. The role involves shaping environments where data scientists run notebooks, explore datasets, and develop analytical logic, while ensuring capabilities integrate seamlessly. The position supports scalable compute, automated workflows, reproducible environments, governed data access, and secure, cloud-native infrastructure to accelerate delivery of insights to mission stakeholders.

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, venv, or 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 platform-performance observability 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 certifications such as Solutions Architect, DevOps Engineer, SysOps, or ML Specialty.

Responsibilities

Support data science, analytics, platform engineering, or cloud-native operations environments.
Architect and administer IL6 or IL7 cloud environments, such as AWS regions or Azure Government.
Design and enforce strict IAM and least-privilege access across multi-tenant environments.
Develop CI/CD pipelines using tools such as GitLab CI, Jenkins, AWS CodePipeline, Git, or GitHub Actions.
Support Kubernetes environments, including runner orchestration and containerized workflow execution.
Apply infrastructure as code, compliance automation, and configuration hardening.
Support automated testing, vulnerability scanning, artifact management, and environment promotion.
Support Python-based environments and reproducible execution patterns for data scientists.
Enable and support data scientists using cloud services and analytical environments.
Collaborate with data scientists, cloud engineers, and security teams on cloud deployment workstreams.