Data Scientist, Applied AI

About the Opportunity

The organization specializes in services and software for standards-based health-information exchange, dedicated to advancing public health and healthcare quality. This Data Scientist, Applied AI role plays a crucial part in enabling data-informed decision-making by designing and building AI-powered applications and tools. Utilizing existing AI models and Cloud infrastructure, the position aims to significantly enhance public health initiatives and health data interoperability.

Responsibilities

• Utilize analytic and visualization techniques to deliver actionable insights.
• Design, prototype, build, and maintain AI-powered tools using Python and established models like LLMs and embeddings.
• Iterate on prompts and workflows based on continuous testing and feedback; provide support for deployment and operational phases.
• Maintain current knowledge of emerging data science, AI, and machine learning tools and best practices.
• Access, combine, and analyze large, complex datasets; clean and wrangle data with appropriate guidance.
• Ensure the highest quality, integrity, and security standards for all data.
• Create comprehensive visualizations and perform in-depth analyses using statistical and machine learning methodologies.
• Present findings clearly and concisely to technical and non-technical audiences, with support as required.
• Manage most tasks independently, seeking guidance for more complex responsibilities.
• Communicate results effectively to clients, management, and internal staff.
• Translate client and business requirements into formal technical specifications.

Requirements

• Associate's degree with at least three years of relevant experience, or a Bachelor’s degree with at least one year of relevant experience in data science, computer science, statistics, applied mathematics, or a related discipline.
• Proficiency in Python programming.
• Familiarity with analytic software (e.g., R, Databricks), Cloud platforms (Azure, AWS), and big-data technologies (e.g., Spark).
• Basic Cloud literacy, including an understanding of containers and serverless computing; proficiency with APIs and SDKs (e.g., OpenAI, Azure, AWS).
• Familiarity with AI concepts pertinent to data applications (e.g., RAG, LangChain/LangGraph, Vector DBs).
• Demonstrated ability to work independently on general tasks.
• Competence in applying diverse data analytics approaches.
• Ability to successfully complete a Level 5 Position of Public Trust background investigation if mandated.

Preferred Qualifications

• Bachelor’s degree with at least five years of relevant experience, or a Master’s degree with three years of relevant experience.
• Direct experience with large-dataset analysis for public health entities such as the CDC or CMS.

Benefits & Perks

• Flexible remote work options, with opportunities for in-person collaboration during key events such as annual meetings.
• RemoteHunter is an equal opportunity employer, committed to fair consideration for all applicants regardless of protected status.
• Applicants must reside within the United States.

Compensation

The annual compensation for this role ranges from $75,000 to $95,000.

Key skills/competency

• Data Science
• Applied AI
• Machine Learning
• Python Programming
• Cloud Platforms (Azure, AWS)
• Big Data Technologies
• Data Analysis
• Data Visualization
• LLMs & Embeddings
• Health Informatics