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Data Scientist with Security Clearance - Data Machines
Data Scientist
Data Scientist with Security Clearance driving data‑driven solutions for federal and defense missions using Python, machine learning, and DevSecOps practices on AWS.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models and analytics solutions to address critical mission challenges for federal and defense clients.
- Collaborate with cross‑functional teams to integrate data pipelines, ensuring secure and compliant data flows in a DevSecOps environment.
- Leverage AWS services to build scalable, high‑performance data architectures and automate model training and deployment.
- Perform advanced statistical analysis, feature engineering, and model validation to deliver actionable insights.
- Document methodologies, maintain reproducible codebases, and present findings to technical and non‑technical stakeholders.
Requirements
- Strong proficiency in Python and experience with machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Hands‑on experience with data analytics, SQL, and big data tools (Spark, Hadoop).
- Knowledge of DevSecOps practices, CI/CD pipelines, and cloud security on AWS.
- Excellent problem‑solving skills and ability to translate complex data into clear recommendations.
- Valid security clearance or ability to obtain one for federal projects.
Skills
pythonmachine learningaws