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Data Scientist, Mid
Booz Allen HamiltonCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and administering cloud-native environments, particularly IL6 or IL7, while enabling data science teams through scalable compute and automated workflows. Proficient in CI/CD pipeline development and managing secure access in multi-tenant infrastructures.
Highest-signal resume keywords
Cloud-Native Infrastructure AdministrationCI/CD Pipeline DevelopmentKubernetes ManagementIAM and Least-Privilege Access EnforcementActive TS/SCI Clearance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Support a data science team by enabling experimentation, iteration, and operationalization of insights through well-architected cloud services
- Shape environments where data scientists run notebooks, explore datasets, and develop analytical logic
- Integrate data science capabilities with cloud-native infrastructure
- Build and support platforms designed around data scientists’ needs
- Accelerate delivery of insights to mission stakeholders
- Enable and support scalable compute, automated workflows, reproducible environments, governed data access, and secure cloud-native infrastructure
Requirements
What you’ll need- 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
- 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
Benefits
Comp & perks- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards for exceptional performance and superior demonstration of company values
- Identity verification process and camera participation during interviews and assessments
- Full-time employees are eligible to participate in Booz Allen’s benefit programs
- Part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Science SupportPlatform EngineeringAWS RegionsAzure GovernmentGitLab CIJenkinsAWS CodePipelinePythonIaCAutomated Testing
Tools & Technologies
KubernetesEKSAKSJupyterCondaVenvGitGitHub Actions
Industry Keywords
Data AnalyticsCompliance AutomationConfiguration HardeningVulnerability ScanningArtifact Management