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Data Scientist - Data Quality & Analytics Hybrid - 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 data‑visualization tools on large, complex datasets.
About the role
Key Responsibilities
- Design, develop, and validate statistical and machine‑learning models to improve data quality and support intelligence‑focused analytics.
- Extract, transform, and load large, heterogeneous data sets from multiple sources, ensuring accuracy, consistency, and security.
- Create interactive dashboards and visualizations to communicate insights to technical and non‑technical stakeholders.
- Collaborate with domain experts and engineers to integrate analytic solutions into mission‑critical workflows.
- Implement data‑governance best practices, including documentation, version control, and reproducibility.
Requirements
- Advanced degree (M.S. or Ph.D.) in Data Science, Computer Science, Statistics, or a related quantitative field.
- 3+ years of professional experience with Python, SQL, and machine‑learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- Proven ability to work with big‑data platforms and perform complex data wrangling and ETL processes.
- Strong data‑visualization skills using tools such as Tableau, Power BI, or Plotly.
- Clearance‑eligible status and ability to obtain a security clearance.
Skills
pythonsqlmachine learning