Data Scientist, Mid

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Reston, VAWashington, DC
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $162k

$86k $222k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$196,250.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Scientist, Mid

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The Data Scientist, Mid joins a data science team to serve as the technical backbone for the mission. You will build and support scalable, cloud-native platforms that enable data scientists to experiment, iterate, and operationalize insights through well-architected services. Day-to-day responsibilities include shaping environments for running notebooks, exploring datasets, and developing analytical logic while ensuring seamless integration. You will utilize technologies including AWS, Azure Government, Kubernetes, EKS, AKS, and GitLab CI. Required skills involve architecting IL6 or IL7 environments, enforcing IAM least-privilege access, and managing Python-based environments like Jupyter and conda. You will also handle IaC, configuration hardening, and vulnerability scanning. The role solves the technical problem of providing reproducible, governed, and secure infrastructure for complex data analytics.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

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Skills

AWS Kubernetes Python CI/CD GitLab CI Jenkins AWS CodePipeline EKS AKS Red Hat OpenShift Prometheus Grafana OpenTelemetry S3 EC2 IAM Lambda ECS CloudWatch Jupyter conda venv Git RMF

What you'll do

Architect and administer IL6 or IL7 cloud environments such as AWS or Azure Government.
Design and enforce strict IAM and least-privilege access across multi-tenant environments.
Develop CI/CD pipelines using tools like GitLab CI, Jenkins, or AWS CodePipeline.
Orchestrate containerized workflows and runners using Kubernetes (EKS or AKS).
Build and support scalable platforms for data scientists to run notebooks and explore datasets.
Implement Infrastructure as Code (IaC), compliance automation, and configuration hardening.
Manage Python-based environments including Jupyter, conda, and various package management systems.
Prepare and maintain System Security Plans (SSPs) for RMF and ATO processes.

What we're looking for

8+ years of experience supporting data science, analytics environments, platform engineering, or cloud-native operations.
Bachelor's degree with 8+ years of experience with data analytics, or 12+ years of experience with data analytics in lieu of a degree.
Active TS/SCI clearance and willingness to take a polygraph exam.
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, configuration hardening, automated testing, vulnerability scanning, artifact management, and environment promotion.