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# Senior Data Scientist

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $135,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Network Analysis, Cyber Security, Python (Programming Language), Machine Learning, Open Source Technology, Performance Testing, Vulnerability Analysis
- **Published:** October 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pou622ovus

## About the Role

* Minimum 5 years professional experience in data science, machine learning, advanced analytics, or related fields
 * At least 2 years experience with SOCOM or Intelligence Community operations
 * Strong Python development skills
 * Experience developing, testing, and validating machine-learning or advanced analytic models
 * Ability to work with large, complex, multi-source datasets
 * Proficiency in statistical analysis, anomaly detection, predictive modeling, or related techniques
 * Experience designing and evaluating model performance
 * Ability to develop reproducible and auditable analytical workflows
 * Strong technical documentation and communication skills
 * Ability to work independently and collaborate with stakeholders
 * Eligibility to obtain required government security and system access

## Description

The SENIOR DATA SCIENTIST role supports an advanced counterintelligence analytics program for a federal aviation agency. This position is responsible for developing, validating, deploying, and sustaining machine learning and network analytics capabilities to enhance supply-chain risk management, behavioral anomaly detection, and cyber alert triage. The role requires translating prototype analytics into scalable, explainable solutions that operate within a secure government environment, directly impacting national security operations., * Design, build, tune, validate, and harden machine-learning and advanced analytic models

 * Develop graph-based analytics for supplier and supply-chain relationship analysis
 * Perform entity resolution across diverse government, commercial, and open-source datasets
 * Maintain data-processing and analytic pipelines
 * Build behavioral anomaly detection models for host and user activity changes
 * Develop cascade-based analytics to prioritize cyber-alert volumes
 * Establish baseline models before applying advanced machine-learning techniques
 * Create interpretable and explainable models with traceable outputs
 * Define and evaluate model performance metrics and acceptance criteria
 * Monitor feature, input, and model drift and support retraining
 * Conduct production-scale performance testing and optimize analytics for large datasets
 * Package validated analytics for deployment into secure government environments
 * Support containerized deployment including dependency management and vulnerability scanning
 * Document model assumptions, methodologies, constraints, validation results, and configurations
 * Incorporate feedback from analysts and investigators into model improvements
 * Collaborate with technical leadership, data analysts, and government partners