Apply Now

Data Science & AI/PQC Engineer - Federal Mission Solutions

• Posted 24 days ago • Updated 6 hours ago

Full Time

On-site

USD $150,000.00 - 185,000.00 per year

Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

Inventory
Mapping
Prototyping
Natural Language Processing
Time Series
Forecasting
Network
Procurement
Sensors
Large Language Models (LLMs)
Use Cases
Documentation
Test Plans
OMB
Collaboration
Agile
Sprint
Technical Writing
Roadmaps
Software Engineering
Computer Science
Data Science
Mathematics
Information Systems
Python
SQL
TLS
Algorithms
Vulnerability Assessment
Docker
Kubernetes
Git
Continuous Integration
Continuous Delivery
Linux
Security Clearance
Analytical Skill
Communication
SIEM
DoD
IC
Internal Communications
Integrated Circuit
FedRAMP
RMF
Risk Management Framework
Adobe AIR
PKI
Management
Cloud Security
Encryption
Legacy Systems
Deep Learning
PyTorch
TensorFlow
scikit-learn
XGBoost
Pandas
Analytics
Generative Artificial Intelligence (AI)
Prompt Engineering
Evaluation
LangChain
Semantics
Autogen
Amazon SageMaker
Vertex
Databricks
Data Visualization
Tableau
Microsoft Power BI
Plotly
Dash Python
Kibana
Grafana
Dashboard
Workflow
Network Security
Vulnerability Management
Research
Public Sector
Risk Management
Privacy
Migration
Demonstrations
Supply Chain Management
Fraud
HR Analytics
Machine Learning Operations (ML Ops)
Cloud Computing
Data Engineering
Acquisition
Regulatory Compliance
Mentorship
Machine Learning (ML)
Cyber Security
Cryptography
Career Counseling
Professional Development
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Artificial Intelligence

Inventory
Mapping
Prototyping
Natural Language Processing
Time Series
Forecasting
Network
Procurement
Sensors
Large Language Models (LLMs)
Use Cases
Documentation
Test Plans
OMB
Collaboration
Agile
Sprint
Technical Writing
Roadmaps
Software Engineering
Computer Science
Data Science
Mathematics
Information Systems
Python
SQL
TLS
Algorithms
Vulnerability Assessment
Docker
Kubernetes
Git
Continuous Integration
Continuous Delivery
Linux
Security Clearance
Analytical Skill
Communication
SIEM
DoD
IC
Internal Communications
Integrated Circuit
FedRAMP
RMF
Risk Management Framework
Adobe AIR
PKI
Management
Cloud Security
Encryption
Legacy Systems
Deep Learning
PyTorch
TensorFlow
scikit-learn
XGBoost
Pandas
Analytics
Generative Artificial Intelligence (AI)
Prompt Engineering
Evaluation
LangChain
Semantics
Autogen
Amazon SageMaker
Vertex
Databricks
Data Visualization
Tableau
Microsoft Power BI
Plotly
Dash Python
Kibana
Grafana
Dashboard
Workflow
Network Security
Vulnerability Management
Research
Public Sector
Risk Management
Privacy
Migration
Demonstrations
Supply Chain Management
Fraud
HR Analytics
Machine Learning Operations (ML Ops)
Cloud Computing
Data Engineering
Acquisition
Regulatory Compliance
Mentorship
Machine Learning (ML)
Cyber Security
Cryptography
Career Counseling
Professional Development
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Artificial Intelligence

Summary

Job Type

Full-time

Description

Position Overview

Diaconia is seeking a mid-level Data Science & AI/PQC Engineer to design and deliver AI-enabled cybersecurity and post-quantum cryptography (PQC) capabilities for federal mission customers. This role blends applied machine learning, data engineering, cloud-native software delivery, and cryptographic modernization to help agencies identify cryptographic assets, score quantum and cyber risk, monitor compliance, and transition legacy environments toward quantum-resilient architectures. The engineer will contribute to mission-facing prototypes, secure deployments, technical documentation, and stakeholder demonstrations in support of federal cyber modernization efforts.

Key Responsibilities

Develop AI-driven PQC readiness capabilities that support cryptographic asset inventory, key-management mapping, legacy-system dependency analysis, automated risk scoring, and compliance monitoring for federal networks
Integrate cybersecurity and infrastructure data from network scans, SIEM/security telemetry, vulnerability tools, configuration repositories, cryptographic discovery outputs, and mission systems into analytics-ready datasets
Engineer cloud-native prototypes using Python, APIs, Docker, Kubernetes/Helm, CI/CD, and AWS or Azure government cloud environments to move analytics from proof-of-concept into secure, repeatable deployments
Evaluate AI/ML effectiveness using mission-relevant metrics such as detection accuracy, false-positive rates, coverage, latency, response time, model drift, and remediation prioritization value
Apply AI/ML techniques to structured and unstructured federal datasets, including network telemetry, vulnerability findings, cryptographic inventories, logs, NLP, time-series forecasting, anomaly detection, and classification models
Develop and iterate on data pipelines to ingest, clean, transform, and analyze large-scale government datasets, such as network logs, cryptographic asset inventories, vulnerability scans, procurement data, case management records, sensor feeds, and supply chain data
Prototype and evaluate large language model (LLM) applications including retrieval-augmented generation (RAG), prompt engineering, agentic workflows, and analyst-assist capabilities tailored to cyber, compliance, and mission assurance use cases
Translate mission requirements from federal agency stakeholders into technical problem statements, data-driven solution approaches, backlog items, model evaluation plans, and implementation roadmaps
Build dashboards and data visualizations to communicate threat trends, cryptographic risk, migration priority, model performance, compliance status, and analytical findings to both technical and non-technical government audiences
Support responsible AI practices by contributing to model documentation, test plans, explainability artifacts, bias and performance assessments, and governance workflows aligned to applicable federal AI guidance (e.g., OMB M-25-21, OMB M-25-22, EO 14179, NIST AI RMF)
Collaborate in agile teams by participating in sprint planning, demos, retrospectives, code reviews, experiment reviews, and technical documentation for secure federal delivery
Present findings to internal teams and, where appropriate, to federal agency stakeholders through demos, briefings, white papers, remediation roadmaps, and architecture tradeoff discussions

Disclaimer "The responsibilities and duties outlined in this job description are intended to describe the general nature and level of work performed by employees within this role. However, they are not exhaustive and may be subject to change or modification at any time to meet the evolving needs of the organization.

Requirements

Required Qualifications

3+ years of professional experience in data science, machine learning engineering, software engineering, cybersecurity analytics, cryptography modernization, or related applied technology delivery
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Cybersecurity, Information Systems, or a related technical field; additional relevant experience may substitute for degree requirements
Proficiency with Python and SQL and experience building data pipelines, analytical workflows, APIs, dashboards, or production-grade AI/ML applications
Working knowledge of cybersecurity and cryptographic concepts such as TLS, PKI, key management, encryption algorithms, vulnerability assessment, secure communications, and risk remediation
Experience with cloud or containerized delivery using tools such as AWS, Azure, Docker, Kubernetes, Git, CI/CD pipelines, and Linux-based development environments
U.S. citizenship and ability to obtain and maintain a U.S. government security clearance; active Secret, Top Secret, or TS/SCI clearance may be required by program
Strong analytical thinking and ability to frame ambiguous problems into tractable analytical approaches
Excellent written and verbal communication skills; ability to explain technical concepts to non-technical stakeholders

Preferred Qualifications

Hands-on experience with post-quantum cryptography, crypto-agility, cryptographic discovery, PQC migration planning, or implementation of NIST PQC standards such as ML-KEM, ML-DSA, and SLH-DSA
Experience building AI-enabled cybersecurity capabilities, including threat detection, anomaly detection, automated risk scoring, compliance monitoring, SIEM/log analytics, analyst-assist workflows, or cyber operations automation
Experience deploying AI/ML or software capabilities into secure federal environments, such as DoD, IC, CUI, FedRAMP, CMMC, RMF, Zero Trust, CAC-enabled, air-gapped, or otherwise constrained mission settings
Familiarity with secure communications and infrastructure modernization, including PKI, identity systems, key management, cloud security, encryption modernization, and legacy-system interoperability
Experience with deep learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers) and classical ML libraries (scikit-learn, XGBoost, pandas) used in applied analytics delivery
Hands-on exposure to LLMs and generative AI applications including prompt engineering, fine-tuning, RAG pipelines, vector stores, model evaluation, and agentic frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen
Familiarity with cloud platforms (AWS GovCloud, Azure Government, or Google Cloud) and MLOps tooling such as MLflow, SageMaker, Vertex AI, Airflow, Kubeflow, or Databricks workflows
Experience with data visualization tools (Tableau, Power BI, Plotly Dash, Kibana, Grafana, or similar) for executive dashboards, analyst workflows, and operational monitoring
Knowledge of federal or mission data sources including agency-specific systems, network/security telemetry, vulnerability management platforms, USASpending, Data.gov, Census Bureau APIs, or operational mission repositories
Prior professional, research, or project experience in a government, defense, intelligence, cybersecurity, public sector, or regulated commercial environment
Coursework, projects, or applied experience in AI governance, responsible AI, trustworthy AI, model risk management, privacy, cybersecurity policy, or federal technology acquisition

What You'll Gain

Quantum-resilient mission modernization: Build AI-enabled capabilities that help federal agencies understand cryptographic exposure, prioritize PQC migration, and improve mission assurance against emerging quantum-enabled cyber threats
End-to-end technical ownership: Contribute across prototype design, data ingestion, ML experimentation, cloud deployment, stakeholder demonstrations, and transition planning for operational environments
Mission-driven impact: Your work will directly support federal agencies tackling challenges in AI-driven cybersecurity, PQC readiness, cryptographic compliance, mission assurance, supply chain resilience, fraud detection, workforce analytics, and more
Technical depth: Hands-on experience applying AI/ML, LLM, MLOps, cloud engineering, data engineering, and PQC methods to complex, real-world federal datasets - not toy problems
Federal domain expertise: Exposure to the federal acquisition, compliance, cyber modernization, SBIR transition, and program environment that shapes how AI and PQC capabilities are deployed in government
Mentorship: Work with senior data scientists, ML engineers, cybersecurity architects, and cryptography specialists who provide technical guidance and career coaching throughout the role
Professional development: Access to internal learning resources, technical communities, industry certifications (AWS, Azure, Google Cloud, security, data, and AI), and speaker series

Salary Description

$150K - $185K

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91130353
Position Id: b7239faac4fa274cb278e58e9ee4f1d5
Posted 24 days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Cybersecurity Data Scientist

Hybrid in McLean, Virginia

•

Today

Job Number: R0243933 Cybersecurity Data Scientist The Opportunity : As a Cybersecurity Data Scientist, you will operate as a hands-on technical contributor and applied research leader responsible for designing, developing, and operationalizing data-driven and AI-enabled solutions for Booz Allen's Cyber Operations teams. This role emphasizes execution and delivery, turning security telemetry, threat intelligence, and analyst workflows into production-grade models, detections, and decision-suppor

Full-time

USD 77,600.00 - 176,000.00 per year

AI & Data Security Engineer

Austin, Texas

•

Today

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest custom

Full-time

Cyber Operations Engineer - Artificial Intelligence

McLean, Virginia

•

Today

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting im

Full-time

USD 158,800.00 - 198,500.00 per year

AI Security Architect/Partner

Remote or New York, New York

•

Today

Tradeweb is a global leader in electronic trading across asset classes. As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale. We serve more than 3,000 clients in more than 85 countries, including many of the world?s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers. Creative collaboration and sharp client focus have helped fuel our organic growth. We facilitated average daily tradin

Full-time

Search all similar jobs