Data Analyst 3 – AI Solutions

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the design, development, testing, and deployment of AI, machine learning, and advanced analytics solutions tailored to meet client needs in healthcare, public health, and justice sectors.

• Construct, test, and enhance predictive models, natural language processing solutions, and generative AI applications under the guidance of senior technical staff.

• Create prototypes, proofs of concept, and functional applications utilizing cutting-edge AI technologies.

• Utilize large language models, retrieval-augmented generation, agentic AI concepts, and machine learning techniques to tackle business and program challenges.

• Contribute to data pipelines, model evaluation strategies, and analytical workflows that support dependable and scalable government-data solutions.

• Adhere to and promote responsible AI practices, encompassing model testing, validation, documentation, governance, and risk management.

• Work with project teams and clients to pinpoint AI and advanced analytics opportunities.

• Convert business requirements into technical alternatives, analytical methodologies, and solution designs.

• Engage in solution sessions, demonstrations, workshops, and exploratory activities.

• Convey technical concepts and analytical results to both technical and non-technical stakeholders.

• Aid in the implementation, testing, user feedback, and adoption of AI-enabled tools and solutions.

• Employ data science and AI methodologies to address challenges in health, public health, healthcare, and global health.

• Examine structured and unstructured data to derive insights and enhance organizational performance.

• Facilitate AI-enabled approaches for epidemiological analytics, program monitoring and evaluation, healthcare operations, knowledge management, research synthesis, workflow automation, and decision support.

• Assist in proposal development and capture initiatives by providing technical concepts, solution input, and innovative ideas.

• Contribute to demonstrations, prototypes, white papers, concept notes, technical presentations, and thought leadership materials.

• Monitor emerging AI technologies and aid in the creation of reusable AI assets, accelerators, templates, and solution frameworks.

• Stay updated on advancements in AI, machine learning, and data science.

• Share expertise and collaborate across health, research, engineering, software development, and business development fields.

⛳️ Requirements

• 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, Applied Mathematics, Engineering, Bioinformatics, Health Informatics, or a related quantitative field.

• Practical experience in developing, testing, or enhancing machine learning, artificial intelligence, or advanced analytics solutions in professional or project-based settings.

• Proficient in programming with Python and utilizing common data science libraries and frameworks.

• Experience in preparing, analyzing, and interpreting structured and unstructured data sources.

• Ability to articulate analytical methods, findings, and technical trade-offs to both technical and non-technical audiences.

• Proven problem-solving and critical-thinking abilities.

• Experience collaborating effectively within multidisciplinary teams.

• Working knowledge of generative AI technologies, such as LLMs, prompt engineering, retrieval-augmented generation, or AI agents.

• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.

• Understanding of MLOps, model evaluation, model deployment concepts, and software engineering best practices.

• Experience or demonstrated interest in applying analytics, AI, or data science to healthcare, public health, global health, or health research initiatives.

• Experience providing technical contributions, prototypes, or solution ideas for proposals, capture efforts, or new business opportunities.

• Familiarity with health data standards, healthcare analytics, digital health ecosystems, or related health data environments.

• Experience developing or supporting client-facing dashboards, analytical products, decision-support tools, or similar data products.

🏝️ Benefits

• Comprehensive health insurance plans.

• Retirement savings options with company match.

• Opportunities for professional development and training.

• Flexible work arrangements and a supportive work environment.