Data Scientist (DoD / Secret Clearance) – Charleston, SC

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.