Senior Data Scientist – AI-ML, Anomaly Detection Lead

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Chameleon Integrated Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Chameleon Integrated Services is a provider of high-quality IT solutions designed to enhance organizational effectiveness in both public and private sectors. They focus on three core principles: Prepare, Protect, and Prosper. By leveraging technology and innovation, Chameleon helps clients reduce risks, streamline operations, and modernize their IT infrastructure while ensuring cybersecurity and effective network management. With a commitment to personal growth and teamwork, Chameleon emphasizes building strong relationships and delivering transformational results.

📋 Description

• Evaluate, enhance, and modernize the existing 11-rule baseline POC library for enterprise scalability • Architect transaction-centric anomaly logic, including data features, risk scoring models, tolerance thresholds, and alert prioritization • Develop, refine, and deploy supervised and unsupervised machine learning algorithms • Maintain transparent, non-black-box algorithms with human-readable explanations and evidence for auditors and investigators • Establish audit-ready validation datasets and document accuracy, false-positive metrics, and rule reproducibility • Provide technical documentation, test scripts, and system logs for independent technical reruns • Implement automated criteria for model scoring transparency, version control, feature mapping, and data drift detection • Engineer formulas and methodologies to quantify cost avoidance, financial recoveries, risk exposure, and investigative referrals

🎯 Requirements

• 10+ years of comprehensive data analytics and data science experience • 5+ years of dedicated, hands-on machine learning engineering • Documented delivery of data science, predictive modeling, or advanced analytics solutions in federal, state, military, or local government • Advanced hands-on mastery of Python and SQL • Deep expertise in supervised and unsupervised learning, classification, clustering, statistical forecasting, and advanced feature engineering • Experience in model evaluation, threshold calibration, and false-positive/false-negative impact analysis • Ability to translate model outputs into defensible, audit-ready forensic evidence • Experience producing technical artifacts, configuration baselines, and model documentation for independent replication • Experience with disparate transaction-level financial, procurement, contract management, or purchasing-card ledger data • Must be a U.S.-based citizen or resident currently living inside the United States • Must successfully clear an FDLE Level II background screening, including fingerprinting, within 5 business days of contract award • Resume must explicitly document government customer, problem, technical approach, personal contribution, deployment/validation status, and quantifiable outcomes

🏖️ Benefits

• Opportunity to work on revolutionary federal IT infrastructure • Opportunity to grow alongside cutting-edge technology • Promoting from within • Equal opportunity employment