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 inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.