Data Scientist with Security Clearance

Integral Federal, Inc.

Washington (District of Columbia)

On-site

USD 165,000 - 181,000

Full time

7 hours ago
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Benefits offered by this job

Medical, Dental & Vision Insurance
Paid Time Off & Holidays
Professional Training Reimbursement
Employee Assistance Program

Job summary

Integral Federal, Inc. supports the Office of Naval Research/Data & Analytics Division by architecting and deploying advanced analytics and AI/ML models, including NLP on unstructured text, with secure data access and cloud-native infrastructure.

The role covers design and operation of data systems, API interfaces, secure bulk downloads, and CI/CD pipelines, in a DoW/S&T context requiring a Secret Clearance and a FedRAMP IL5 environment.

Qualifications

  • Bachelor’s degree in computer science or IT with 10 years of experience.
  • 10 years of experience developing and deploying analytical models in DoW/S&T environments.
  • 5 years hands-on experience using Python or R for statistical analysis and AI/ML.
  • Verifiable project experience building data pipelines for batch or streaming data processing.
  • Experience on at least two projects applying NLP, Network Analysis, or Bibliometric Analysis to S&T data.
  • Secret Clearance.

Responsibilities

  • Provide comprehensive technical infrastructure support for all systems supporting the data and analytics environment.
  • Design, deploy, and operate data and applications within a FedRAMP High/ IL5 cloud with ongoing ATO maintenance.
  • Support architecture design for scalability to handle data growth and user load.
  • Sustain secure data access mechanisms, APIs, UIs, and bulk data download for authorized users.
  • Develop and deploy ML/AI models (including NLP) and integrate AI/ML platforms.
  • Automate infrastructure/workflows using IaC tools and build CI/CD pipelines and streaming data pipelines.

Skills

Python
R
NLP
Data analysis

Education

Bachelor’s Degree in Computer Science or IT

Tools

Terraform
Ansible
Apache Kafka
AWS Kinesis
SageMaker
Azure Machine Learning

Job description

Overview

The Data Scientist supports all Data Acquisition, Analytics, and Governance Services tasks and the strategy, design, and deployment of all advanced analytical and AI/ML models for the Office of Naval Research (ONR) Comptroller’s Office Data and Analytics (D&A) Division architecture.

Responsibilities
  • Provide comprehensive technical infrastructure support for all systems supporting the data and analytics environment.
  • Design, deploy, and operate all data and applications within a cloud environment authorized at the FedRAMP High baseline and DoD Impact Level 5 (IL5), and maintain the system’s Authority to Operate (ATO) at all times lo include configuration management, security patching, system monitoring, and help desk support.
  • Support the architecture design for scalability to accommodate future growth in data volume and user load.
  • Sustain secure data access mechanisms, including Application Programming Interfaces (APIs) and user interfaces for data exploration, as well as a secure Bulk Data Download capability for authorized users.
  • Manage access mechanisms under a formal data governance framework, including metadata management and data cataloging. develop and deploy machine learning (ML) and artificial intelligence (AI) models, including Natural Language Processing (NLP) to analyze unstructured text and the integration of AI/ML platforms (e.g., AWS SageMaker, Azure Machine Learning)
  • Automate infrastructure and workflows using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible), build and manage CI/CD pipelines for secure software deployment, and develop streaming data pipelines (e.g., using Apache Kafka or AWS Kinesis) for real-time data processing.
Qualifications
  • Bachelor’s Degree in computer science or IT related degree with 10 years experience
  • Ten (10) years of experience developing and deploying analytical models to address Science & Technology (S&T) or business requirements within a Department of War (DoW) organization.
  • Five (5) years of hands‑on experience using Python or R for statistical analysis, predictive modeling, and developing artificial intelligence/machine learning (AI/ML) models.
  • Verifiable project experience developing data pipelines for batch or streaming data processing, including data cleansing, standardization, and normalization.
  • Experience on at least two (2) distinct projects that required the application of advanced analytical techniques (such as Natural Language Processing (NLP), Network Analysis, or Bibliometric Analysis) to S&T portfolio data.
  • Secret Clearance.
Salary

Salary range: $164,939 - $181,185

This position is in the proposal stage. The above salary range represents a general guideline. Integral Federal considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay.

Company Overview

Integral partners with federal defense, intelligence, and civilian leaders to tackle their most important challenges and deliver positive outcomes. Since our founding in 1998, we have helped clients leverage existing and emerging technologies to transform their enterprises, empower growth, drive innovation, and build sustainable success. The forward‑leaning solutions we deliver are tailored to each mission with a focus on keeping our nation safe and secure. Integral is headquartered in McLean, VA and serves clients throughout the country. We offer a comprehensive total rewards package including paid parental leave and immediate vesting in our 401(k). Give us a try and become part of a curated group of professionals at Integral Federal! Our package also includes:

  • Medical, Dental & Vision Insurance
  • Flexible Spending Accounts
  • Short-Term and Long-Term Disability Insurance
  • Life Insurance
  • Paid Time Off & Holidays
  • Earned Bonuses & Awards
  • Professional Training Reimbursement
  • Employee Assistance Program Equal Opportunity Employer/Protected Veteran/Disability
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