onsite
Senior Data Scientist - Clarity Innovations
Data Scientist
Lead advanced analytics and data engineering initiatives for national security, leveraging Python, Machine Learning, and AWS to transform complex datasets into actionable intelligence within secure DevSecOps pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to extract insights from large, heterogeneous intelligence datasets.
- Collaborate with data engineering teams to build robust data pipelines, ensuring data quality, lineage, and compliance with secure DevSecOps practices.
- Implement CI/CD workflows for model training, testing, and deployment, integrating automated monitoring and alerting for model performance.
- Translate mission-critical requirements into analytical solutions, presenting findings to stakeholders and influencing strategic decisions.
- Mentor junior data scientists and engineers, fostering a culture of continuous improvement and knowledge sharing.
Requirements
- 10+ years of experience in data science, with a strong background in machine learning, statistical modeling, and predictive analytics.
- Proficiency in Python, SQL, and cloud platforms (AWS), including experience with SageMaker, Lambda, and S3.
- Hands‑on experience building data pipelines using Airflow, dbt, or similar tools, and implementing CI/CD for data science workflows.
- Deep understanding of secure DevSecOps practices, including encryption, access control, and compliance frameworks relevant to national security.
- Excellent communication skills, able to convey complex technical concepts to non‑technical audiences.
Skills
pythonmachine learningawssqlcicd