Data Scientist, Mid The Opportunity :
Data scientists can only move as fast as the platforms that support them. Modern analytics requires more than algorithms—it requires scalable compute, automated workflows, reproducible environments, governed data access, and secure, cloud‑native infrastructure. As a senior Data Scientist, you will be the technical backbone of the data science mission.
You will work directly in support of a data science team, enabling them to experiment, iterate, and operationalize insights through well‑architected cloud services. You’ll shape the environments where data scientists run notebooks, explore datasets, and develop analytical logic, ensuring these capabilities integrate seamlessly.
By building and supporting platforms designed around the needs of data scientists, you transform how the team engages with data and accelerates how insights reach mission stakeholders.
Join us. The world can’t wait .
You Have :
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 with CI/CD pipeline development 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 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; willingness to take a polygraph exam
Bachelor's degree with 8+ years of experience with data analytics, or 12+ years of experience with data analytics in lieu of a degree
Nice If You Have :
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), documentation, to apply for the 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
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not…