Data Scientist I

Memorial Sloan Kettering Cancer Center

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

Posted 9/29/2026full-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 applications, with a strong foundation in data science and machine learning. Proficient in Python, SQL, and modern AI development practices, with the ability to translate business challenges into scalable AI solutions.

Highest-signal resume keywords

Data ScienceMachine LearningLarge Language ModelsPython ProgrammingETL Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPrompt EngineeringRetrieval-Augmented GenerationAPI-Based DevelopmentSQLAI Application DevelopmentAutomation ToolsModel EvaluationMetrics MonitoringCloud Platforms

Soft Skills

CommunicationStakeholder Engagement

Tools & Technologies

GitCoding Assistant ToolsAWS

Industry Keywords

AI AgentsGenerative AIHealthcare ExperienceCompliance AutomationDigital Products

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
Automate operational workflows and support commercialization and revenue-generation initiatives
Evaluate model and AI solution performance, accuracy, and real-world impact using metrics, testing, and monitoring
Partner with Strategy & Growth stakeholders to translate business challenges into scalable AI-enabled workflows
Build and maintain ETL pipelines, dashboards, and reporting tools
Conduct 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
Report to the Director, Data Science
Sample projects include patent operations and compliance automation, clinical-note chart review using LLMs, and RAG pipelines for strategic research insights

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 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
Ability to explain complex concepts to diverse stakeholders
Availability for Monday-Friday, 9:00 AM-5:00 PM EST schedule