Job Title: Data Scientist / MLOps Engineer (TS/SCI Cleared)
Salary: $175-225k Depending on experience
About the Role:
We’re seeking an innovative technologist to drive cutting-edge AI/ML solutions for critical national security projects. In this role, you’ll combine expertise in data engineering, machine learning, and operational deployment to design, build, and scale solutions that empower decision-makers and solve real-world challenges.
Key Responsibilities:
- Develop and deploy scalable machine learning models and pipelines in secure environments.
- Collaborate with cross-functional teams to translate mission requirements into actionable data solutions.
- Design and implement MLOps frameworks, automating model training, validation, deployment, and monitoring.
- Conduct data exploration and preprocessing to uncover actionable insights from diverse datasets.
- Apply advanced analytics techniques to support decision-making and operational objectives.
- Optimize cloud-based infrastructure for high performance, cost-efficiency, and security compliance.
- Present findings and recommendations to stakeholders in clear, impactful formats.
What You Bring:
- Clearance: Active TS/SCI (CI polygraph preferred).
- Experience: 5+ years in data science, machine learning, or MLOps roles supporting government or defense initiatives.
- Technical Expertise:
- Proficient in Python, R, or similar languages.
- Hands-on experience with TensorFlow, PyTorch, Scikit-learn and SageMaker or Vertex AI.
- CI/CD pipelines and MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
- Data Skills: Strong background in ETL, data wrangling, and statistical modeling.
- Soft Skills: Exceptional communication, collaboration, and problem-solving abilities in high-stakes environments.
