Cloud Computing Technologies
Cloud Computing Technologies
Cloud Computing Technologies (CCT) is a forward-leaning, AI-driven federal contractor specializing in advanced data science, machine learning, and cloud-native solutions for U.S. Government and Department of Defense programs. As a GSA Multiple Award Schedule (47QTCA23D000J) holder delivering mission-critical capabilities, our work spans predictive analytics, AI model development, cyber-intelligent automation, and next-generation cloud architectures. We partner with federal and defense organizations seeking to transform legacy environments into intelligent, data-driven ecosystems that operate with speed, precision, and national-security-grade reliability.
We are expanding our AI and analytics team in Charleston, South Carolina, supporting key defense initiatives that demand world-class data science talent with excellent judgment, technical depth, and the integrity required to support sensitive missions. If you are a US Citizen with a DoD Secret Clearance (or eligible to obtain one) who thrives at the intersection of complex datasets and mission-impacting outcomes, we want to talk to you.
Responsibilities as a Data Scientist
In this role, you will design, develop, and deploy advanced data science solutions that strengthen national-security missions and modernize DoD operations. You will apply statistical rigor, machine learning expertise, and modern cloud technologies to bring clarity, prediction, and automation to high-value defense datasets.
Key responsibilities include:
Core Data Science & Modeling
Perform statistical analysis, hypothesis testing, and analytical exploration to validate operational insights.
Build supervised and unsupervised ML models, including regression, classification, clustering, anomaly detection, and recommendation systems.
Develop advanced deep learning architectures (CNNs, RNNs, Transformers) for complex mission datasets.
Create predictive models and time-series forecasts to address operational and readiness challenges.
Lead A/B and multivariate experiments to evaluate model performance and mission outcomes.
Programming & Tool Development
Work daily with Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and/or R (dplyr, caret, ggplot2).
Develop maintainable notebooks and pipelines using Jupyter, Google Colab, Git, and GitHub.
Write SQL queries for data extraction, transformation, and analytical reporting.
Data Engineering & Pipeline Automation
Construct scalable ETL/ELT pipelines and end-to-end ML workflows.
Apply feature engineering, data preprocessing, and big-data methods with Spark and Hadoop.
Build orchestrated workflows with Airflow, Prefect, or Dagster.
Databases, Cloud, and Deployment
Work with relational databases (PostgreSQL, MySQL) and NoSQL solutions (MongoDB, Cassandra).
Utilize cloud ecosystems such as AWS (SageMaker, Lambda, EC2), GCP (Vertex AI, BigQuery), or Azure ML.
Deploy ML models into production environments using Docker containers, REST APIs (FastAPI or Flask), and modern MLOps practices.
AI & Advanced Analytics
Build NLP systems using Transformers, BERT, GPT-based models, and embeddings.
Support computer-vision initiatives using OpenCV and deep-learning image-classification frameworks.
Develop generative-AI solutions aligned with DoD security and compliance requirements.
Visualization, Insight Generation & Collaboration
Produce dashboards, reports, and briefings using Tableau, Power BI, Plotly, and Matplotlib.
Translate technical results into clear, operationally relevant insights for commanders, program managers, and mission stakeholders.
Collaborate with cross-functional engineering, cyber, and cloud teams across a multi-contract environment.
Qualifications and Requirements
To be considered for this position, candidates must have:
US Citizenship (non-negotiable for federal contract work).
Active DoD Secret Clearance or eligibility to obtain one.
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related technical field (Master’s preferred).
3+ years of hands-on experience in data science or machine learning roles (DoD or Federal experience strongly preferred).
Proficiency with Python or R, and comfort working with modern ML frameworks.
Demonstrated experience building statistical models, ML pipelines, and reproducible analytical workflows.
Experience with AWS, Azure, or GCP cloud platforms.
Strong communication skills with the ability to brief technical insights to mission leaders.
We Will Be Ecstatic With
We would be thrilled if you also have:
Prior work supporting Navy, DoD, DHA, SPAWAR/NIWC, or other national-security agencies.
Hands-on MLOps experience (CI/CD for ML, model registries, automated retraining).
Experience with generative AI, LLM fine-tuning, or enterprise AI integration.
Familiarity with cybersecurity frameworks (Zero Trust, NIST 800-53, DoD RMF).
Background in operations research, simulation modeling, or optimization.
A passion for transforming complex DoD data into mission-critical decisions.
Benefits, Perks, and Compensation
Cloud Computing Technologies offers a comprehensive and competitive compensation program designed for senior federal-mission professionals:
Competitive salary aligned with experience and clearance level
Federal-holidays + generous PTO
Medical, dental, and vision coverage
401(k) retirement plan
Training and certification reimbursement (AWS, Azure, DoD 8570, ML/AI credentials)
Opportunities for rapid advancement on emerging AI/ML defense programs
Remote-flex options depending on mission requirements
Supportive team culture focused on innovation, mission impact, and professional growth
Apply Now
If you are a mission-driven Data Scientist with a passion for applying AI/ML to national-security problems, we invite you to join Cloud Computing Technologies in Charleston, SC. Your expertise will directly contribute to the advancement of DoD readiness, decision superiority, and next-generation data advantage.
Submit your application today and help shape the future of AI-enabled defense capabilities.
To apply for this job email your details to careers@cloudcomputingtechnologies.ai