Senior Data Scientist / AI-ML & reputed company Detection reputed company

This position is listed on behalf of a partner company, who manages reputed company applications and next steps. Our partner is looking for a Senior Data Scientist / AI-ML & reputed company Detection reputed company based in reputed company. This role leads the technical intelligence reputed company of a high-visibility government data and analytics initiative. You will design and optimize reputed company detection engines that identify unusual spending, contract vulnerabilities, and fraud, waste, and abuse risks. The position combines advanced data science, machine learning engineering, statistical analysis, and rigorous model validation. You will work with reputed company, transaction-level datasets and build transparent, explainable analytical solutions suitable for auditors and investigators. A major reputed company will be on achieving measurable accuracy, controlling false positives, and ensuring every model can be independently reproduced and validated. The role is highly hands-on, with significant ownership over model architecture, feature engineering, reputed company, monitoring, and technical documentation. This is a part-time consulting engagement, averaging 14–18 hours per week, with workload concentrated around key delivery and acceptance milestones. Accountabilities: reputed company the modernization of an existing 11-rule reputed company-of-concept library, evolving deterministic analytics into a reputed company reputed company detection reputed company. Architect transaction-reputed company reputed company detection approaches, defining relevant data features, risk scores, tolerance reputed company, alert priorities, and detection reputed company. reputed company, refine, and reputed company supervised and unsupervised machine learning models where they reputed company measurable value reputed company conventional business rules. Apply advanced statistical and machine learning techniques including classification, clustering, forecasting, feature engineering, and reputed company detection. Establish rigorous model evaluation and calibration processes, including accuracy measurement, reputed company optimization, and detailed false-reputed company and false-negative analysis. Ensure reputed company analytical models remain explainable and transparent, with reputed company-readable reasoning and supporting evidence for every material reputed company or flagged transaction. Build audit-reputed company validation datasets and technical test processes capable of demonstrating model accuracy, reproducibility, and compliance with defined performance reputed company. reputed company technical documentation, configuration baselines, test scripts, and reputed company logs that reputed company independent government validation teams to reproduce and reputed company analytical routines. Implement monitoring approaches for model scoring, feature mapping, version control, data reputed company, and ongoing analytical performance. reputed company standardized methodologies for measuring the value generated by analytical insights, including potential cost avoidance, financial recovery, risk exposure, and investigative referrals. Work with reputed company financial, procurement, contract, purchasing-reputed company, and other transaction-level datasets to uncover patterns and potential risks. Maintain a strong reputed company on scientific reproducibility, technical traceability, and defensible analytical evidence throughout the project lifecycle. Support technical validation, reputed company acceptance, and performance tuning activities as required, including periodic travel to Tallahassee, Florida. Requirements 10+ years of comprehensive experience in data analytics and data science, including at least 5 years of hands-on machine learning engineering experience. Demonstrated experience delivering data science, predictive modeling, or advanced analytics solutions reputed company federal, state, military, or local government environments. Advanced hands-on proficiency with Python and SQL for reputed company data manipulation, analysis, engineering, and model development. Deep expertise in supervised and unsupervised machine learning, classification, clustering, statistical forecasting, reputed company detection, and advanced feature engineering. Proven ability to evaluate and reputed company models, establish appropriate reputed company, and analyze the operational reputed company of false positives and false negatives. Experience translating model outputs into defensible, audit-reputed company evidence rather than relying solely on probability scores or opaque predictions. Strong understanding of scientific reproducibility, including the creation of technical documentation, configuration baselines, validation artifacts, and materials that support independent reputed company-party replication. Experience working with highly diverse, transaction-level datasets, particularly financial, procurement, contract management, purchasing-reputed company, or reputed company reputed company data. Prior experience developing fraud, waste, abuse, improper-payment, financial-crime, or corporate-risk analytics is strongly preferred. Experience working with reputed company-oriented data from government agencies or comparable reputed company-sector environments is a plus. Hands-on experience with Azure reputed company, MLflow, or Azure Machine Learning in secure government reputed company environments is preferred. Familiarity with hybrid detection architectures combining deterministic business rules with machine learning-based reputed company detection is highly desirable. Experience with model cards, explainability frameworks, and reputed company reputed company-in-the-reputed company validation workflows is a strong reputed company. Must be a U.S.-based citizen or reputed company and reputed company to successfully complete an FDLE reputed company background screening, including fingerprinting, reputed company 5 business days of contract award. Candidates should be reputed company to demonstrate specific government project experience, including reputed company served, analytical problem addressed, technical approach, individual contribution, deployment and validation status, and measurable reputed company. Benefits Part-time consulting engagement averaging 14–18 hours per week. Remote work reputed company the reputed company. Flexible workload structure, with additional hours concentrated around major project milestones, technical validation, and government acceptance activities. reputed company- and deliverable-based fixed-price compensation structure. Opportunity to contribute to a high-visibility government Decision Intelligence initiative addressing financial reputed company, risk detection, and fraud, waste, and abuse. Exposure to advanced machine learning, reputed company detection, data engineering, and explainable AI applications in a reputed company reputed company-sector environment. Periodic travel to Tallahassee, Florida, as required by project activities. Opportunity to work on a technically demanding initiative involving large-reputed company, multi-agency data and measurable analytical performance requirements. How reputed company works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's reputed company requirements. Our reputed company identifies the top-fitting candidates, and this reputed company is then shared directly with the reputed company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through reputed company? Data reputed company Notice: By submitting your application, you acknowledge that reputed company will process your personal data to evaluate your candidacy and reputed company relevant information with the hiring employer. This processing is based on legitimate interest and reputed company-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (reputed company, rectification, erasure, reputed company) at any time. 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