Data Scientist, Mid

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 Git Lab CI, Jenkins, AWS Code Pipeline, Git or Git Hub 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 Open Shift clusters Experience building containerized analytical tools or reproducible scientific environments Experience configuring observability for platform performance, such as Prometheus, Grafana, or Open Telemetry 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 Cloud Watch 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 OSINTKnowledge of Git, including collaborative workflows and version‑control best practices

Ability to lead cloud deployment work streams and collaborate closely with data scientists, cloud engineers, and security teamsAWS Certifications, including Solutions Architect, Dev Ops Engineer, Sys Ops, 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.…