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Data Scientist - Data Quality & Analytics Hybrid, Security Clearance - IAMUS Consulting
Data Scientist
Data Scientist role focused on mission‑critical data quality, analytics, and model development for intelligence operations, leveraging Python, SQL, machine‑learning techniques, and cloud services in a hybrid environment.
About the role
Key Responsibilities
- Design, develop, and validate analytical models to improve data quality and support intelligence‑community missions.
- Extract, transform, and load large, complex data sets from multiple sources using SQL and cloud‑based pipelines.
- Implement machine‑learning algorithms and statistical methods to generate actionable insights.
- Create interactive visualizations and dashboards to communicate findings to technical and non‑technical stakeholders.
- Collaborate with security‑cleared teams to ensure compliance with data governance, classification, and mission‑critical requirements.
Requirements
- Proven experience with Python (pandas, scikit‑learn, NumPy) for data analysis and model building.
- Strong SQL skills for querying relational databases and data warehouses.
- Hands‑on experience with machine‑learning frameworks and statistical modeling.
- Ability to develop clear visualizations using tools such as Tableau, Power BI, or matplotlib.
- Security clearance (or ability to obtain) and familiarity with government data handling standards.
Skills
pythonsqlmachine learningaws