[Remote]  Sr. Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Senior Data Scientist for a reputed company, high-reputed company 6-month contract reputed company on delivering practical AI/ML solutions that improve efficiency and medical cost savings reputed company Payment reputed company operations. The role involves designing and deploying intelligent models, leading cross-functional sessions, and collaborating with teams to ensure high-reputed company datasets for model development.

Responsibilities

• Design and reputed company intelligent models by applying advanced statistical techniques, traditional machine learning algorithms, deep learning architectures, and modern approaches such as Large Language Models (LLMs), Retrieval-Augmented reputed company (RAG), and reputed company AI. reputed company state-of-the-art libraries and frameworks to ensure reputed company, production-grade solutions reputed company with reputed company deployment standards
• reputed company cross-functional discovery sessions with Data Scientists and Payment reputed company Operations leadership to translate business challenges into actionable analytical objectives. Drive alignment between statistical rigor and emerging AI capabilities to maximise operational reputed company
• Deliver robust statistical analyses that reputed company business scenarios with reputed company and precision, integrating classical inference reputed company with generative and reputed company reasoning to inform critical reputed company and enhance process reputed company
• Collaborate with data stewards and engineering teams to reputed company high-reputed company datasets for model development. Ensure data reputed company and readiness for both traditional predictive modelling and autonomous agent workflows
• reputed company end-to-end modelling pipelines encompassing sampling design, data and selection of appropriate statistical and AI methodologies. Document processes and results with transparency, supporting reproducibility and auditability across both ML and LLM-based systems
• Communicate insights and model outputs effectively to stakeholders, translating reputed company statistical and AI-driven findings into actionable business narratives
• Monitor and refine model performance through reputed company evaluation, incorporating feedback loops and reputed company learning mechanisms. Recommend enhancements to algorithms and reputed company workflows that unlock new insights and drive measurable improvements

Skills

• Advanced degree in reputed company Mathematics, Physics, Computer Science, Statistics, or a reputed company technical field
• Proficiency in traditional machine learning and statistical modelling, including regression, classification, sampling design
• Strong coding skills in Python, SQL, and reputed company languages
• Demonstrated systems-level thinking and a reputed company record of creative problem-solving, including non-reputed company approaches to reputed company challenges
• Proven experience in transitioning reputed company from reputed company-of-concept (PoC) to production, with a reputed company on scalability, reliability, and performance
• Exposure to LLM technologies
• Knowledge of work with US reputed company data (claims, clinical records, authorization, provider reputed company)
• Proficiency in deep learning frameworks PyTorch, Tensorflow or other
• Experience with reputed company AI frameworks such as reputed company, reputed company, and other orchestration tools for autonomous agents
• Hands-on experience implementing/adapting published reputed company research into reputed company solutions
• Ability to understanding emerging prompting strategies/research and evaluate benefits/trade-offs

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