Mission-Critical Cloud Data Scientist | ML & Big Data

CACI; United States; Remote; USD 126,000 - 277,000; Full time

Benefits offered by this job

Relocation stipend

Dependent education

LQA

Job summary

CA CI Cloud Data Scientist role within SOCEUR HTAP focuses on discovering insights from diverse datasets to support U.S. and allied missions.

You will build and validate ML models in a secure IL2-IL5 cloud, partnering with data engineers and ML engineers to operationalize methods while ensuring explainability and bias mitigation. The role requires a US citizenship, TS/SCI clearance, and DoD cyber certifications, with strong Python/SQL skills and experience in ML frameworks.

Qualifications

• Must be a US Citizen possessing an active TS/SCI security clearance.
• Bachelor's degree in quantitative fields such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
• DoD 8570.01-M / DoD 8140 IAT Level II (or higher) baseline certification (e.g., CompTIA Security+, CISSP).
• 5+ years of professional experience in a data science or quantitative analysis role.
• Advanced proficiency in Python and SQL for complex data manipulation, modeling, and analysis.
• Deep expertise with core machine learning libraries and frameworks such as Scikit-learn, Pandas, NumPy, and either TensorFlow or PyTorch.
• Proven experience developing and validating predictive models and using advanced statistical techniques on real-world datasets.
• Demonstrated ability to work independently, conduct extensive investigations into undefined problems, and communicate complex findings to senior leadership.
• TensorFlow Developer Certificate or equivalent demonstrated expertise in a major ML framework.

Responsibilities

• Analyze large, complex, and often unstructured datasets to identify trends, patterns, and actionable insights that address key mission requirements.
• Design, prototype, and validate machine learning and statistical models to solve complex analytical problems in areas such as predictive analysis, pattern recognition, and anomaly detection.
• Clean, transform, and pre-process heterogeneous data from multiple sources to ensure accuracy, completeness, and suitability for analysis.
• Collaborate with the AI/ML Engineering team to transition validated models from a research/prototype phase to a deployable state, providing clear documentation and performance metrics.
• Work with Data Stewards and Data Integrators to understand data lineage, quality issues, and releasability constraints for coalition and multi-national datasets.
• Present highly technical findings and strategic recommendations to both technical and non-technical stakeholders, including senior leadership, in a clear and actionable manner.
• Uphold and implement Responsible AI (RAI) principles, including performing bias detection and ensuring model explainability and fairness.

Skills

Python

SQL

Scikit-learn

Pandas

NumPy

TensorFlow/PyTorch

TensorFlow Developer Certificate

Education

Bachelor's degree in Data Science/Statistics/CS/Math

Tools

Spark

Dask

Vertex AI Notebooks

Looker

Tableau

MLflow

DVC

Job description

CA CI Cloud Data Scientist role within SOCEUR HTAP focuses on discovering insights from diverse datasets to support U.S. and allied missions.

You will build and validate ML models in a secure IL2-IL5 cloud, partnering with data engineers and ML engineers to operationalize methods while ensuring explainability and bias mitigation. The role requires a US citizenship, TS/SCI clearance, and DoD cyber certifications, with strong Python/SQL skills and experience in ML frameworks.