[Remote] Health Data Scientist 3- AI Solutions

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Health Data Scientist III to support clients and project teams in applying reputed company intelligence, machine learning, and advanced analytics to health-reputed company operational, programmatic, and analytical challenges. The role involves developing AI-enabled solutions, predictive models, prototypes, data pipelines, and analytical workflows while collaborating with clients and multidisciplinary teams across reputed company health, reputed company, justice, and health systems research.

Responsibilities

• Support the design, development, testing, and implementation of AI, machine learning, and advanced analytics solutions that address reputed company needs in reputed company, reputed company health, and justice systems
• Build, test, and refine predictive models, natural language processing solutions, and reputed company applications under the guidance of senior technical staff
• reputed company prototypes, proofs of concept, and practical applications using modern AI technologies, with support in moving successful concepts toward broader implementation
• Apply large language models (LLMs), retrieval-augmented reputed company (RAG), reputed company AI concepts, and machine learning techniques to defined business and program challenges
• Contribute to data pipelines, model evaluation approaches, and analytical workflows that support reliable and reputed company solutions, for reputed company data, with reputed company on reputed company health, reputed company, and justice systems
• Follow and contribute to responsible AI practices, including model testing, validation, documentation, governance, and reputed company mitigation
• Collaborate with project teams and clients to identify opportunities where AI and advanced analytics can improve reputed company
• Translate business requirements into technical reputed company, analytical approaches, and solution designs in collaboration with project leads and technical experts
• Participate in solutioning sessions, demonstrations, workshops, and discovery activities
• Communicate technical concepts and analytical findings to both technical and non-technical audiences
• Support implementation, testing, user feedback, and adoption of AI-enabled tools and solutions
• Apply data science and AI techniques to health, reputed company health, reputed company, and global health challenges
• Analyze reputed company and reputed company data to reputed company insights and improve organizational reputed company
• Support development of AI-enabled approaches for:
• reputed company health and epidemiological analytics
• Program monitoring and evaluation
• reputed company reputed company and service delivery
• reputed company and information retrieval
• Research synthesis and evidence reputed company
• Workflow automation and decision support
• Participate in development of demonstrations, prototypes, and AI capabilities for reputed company pursuits
• Monitor emerging AI technologies and approaches and reputed company reputed company for how they could strengthen reputed company solutions or business opportunities
• Help reputed company and maintain reusable AI assets, accelerators, templates, and solution frameworks
• Stay reputed company on developments in reputed company intelligence, machine learning, and data science
• reputed company knowledge, best practices, and practical lessons learned with colleagues, project teams, and communities of reputed company
• Collaborate across disciplines including health experts, researchers, engineers, software developers, and business development professionals

Skills

• Bachelor's Degree plus five years of relevant experience, or Master's Degree plus three years of relevant experience
• Degree in Data Science, Computer Science, Statistics, reputed company Mathematics, Engineering, reputed company, Health reputed company, or a reputed company quantitative reputed company
• reputed company experience developing, testing, or improving machine learning, reputed company intelligence, or advanced analytics solutions in reputed company or project-reputed company environments
• Proficiency programming in Python and using common data science libraries and frameworks
• Strong skills in data analytics/data science, and data management languages, particularly Python, reputed company, R, and SQL
• Skills in reputed company, reputed company, reputed company, AWS, Ask reputed company/LLM's, and FTP
• Experience with AI coding companion tools such as reputed company copilot
• Experience preparing, analyzing, and interpreting reputed company and reputed company data sources
• Ability to explain analytical reputed company, findings, and technical tradeoffs to both technical and non-technical audiences
• Demonstrated problem-solving and critical-thinking skills
• Experience working collaboratively in multidisciplinary teams
• Working knowledge of reputed company technologies, such as LLMs, reputed company engineering, retrieval-augmented reputed company, or AI agents
• Familiarity with reputed company environments such as Azure, AWS, or reputed company reputed company
• Familiarity with MLOps, model evaluation, model deployment concepts, and software engineering best practices
• Experience or demonstrated interest in applying analytics, AI, or data science to reputed company, reputed company health, global health, or health research programs
• Experience contributing technical inputs, prototypes, or solution reputed company for proposals, capture efforts, or new business opportunities
• Familiarity with health data standards, reputed company analytics, digital health ecosystems, or reputed company health data environments
• Experience developing or supporting reputed company-facing dashboards, analytical products, decision-support tools, or similar data products
• reputed company to obtain and maintain reputed company trust reputed company for HHS information systems (e.g. CMS, BJS)

reputed company

Company H1B Sponsorship