Data Scientist I

MSK

. Design, build, and deploy AI agents and generative AI applications from prototypes through production-ready tools .

Posted 9/21/2026full-timeNew York City • New York • United StatesJunior💰 $113,100 - $180,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents and generative AI applications, with a strong foundation in data science, machine learning, and data engineering. Proficient in leveraging modern AI development platforms and tools to create scalable AI-enabled workflows and solutions.

Highest-signal resume keywords

Data ScienceMachine LearningPythonLarge Language ModelsETL Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPrompt EngineeringRetrieval-Augmented GenerationSQLAI Application DevelopmentData EngineeringPerformance EvaluationModel TestingDashboard DevelopmentVersion Control

Tools & Technologies

AWSCoding Assistant ToolsAI Development PlatformsMonitoring ToolsReporting Tools

Industry Keywords

Agentic AI SystemsHealthcare ExperienceCompliance WorkflowsDigital ProductsScalable Workflows

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and deploy AI agents and generative AI applications from prototypes through production-ready tools
Evaluate the performance, accuracy, and real-world impact of models and AI solutions using metrics, testing, and monitoring
Partner with Strategy & Growth stakeholders to translate business challenges into scalable AI-enabled workflows
Perform data analytics and data engineering tasks, including building and maintaining ETL pipelines, developing dashboards and reporting tools, and conducting ad hoc data analyses
Provide data science support for in-house digital products with potential commercial value
Evaluate emerging AI technologies, tools, and frameworks and recommend practical applications
Leverage modern AI development platforms, coding assistance tools, and software engineering best practices
Build AI agents for patent operations and compliance workflows
Develop LLM pipelines to automate chart review from unstructured clinical notes
Build RAG pipelines extracting insights from strategic research and interviews

Requirements

What you’ll need

1-3 years of experience in data science, machine learning, or applied AI
Hands-on experience with large language models, including prompt engineering, retrieval-augmented generation (RAG), and/or API-based development
Understanding of machine learning fundamentals and data analysis techniques
Proficiency in Python and/or R for data science and ML workflows
Comfort working in relational databases and SQL
Familiarity with coding assistant tools, modern software development practices, and version control (Git)
Exposure to or interest in agentic AI systems; direct experience is a strong plus
Familiarity with cloud platforms, particularly AWS, is a plus
Experience building AI applications, AI agents, RAG solutions, or productivity-focused automation tools is strongly preferred
Healthcare experience is a plus but not required