AI Data Scientist I: Automate Workflows and Drive Growth

Memorial Sloan Kettering Cancer Center

New York (NY)

On-site

USD 113,000 - 181,000

Full time

7 days ago
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Job summary

Memorial Sloan Kettering Cancer Center (MSK) seeks a Data Scientist I to join the Strategy & Growth team in New York. You'll build AI-powered solutions to automate workflows, support commercialization, and drive organizational impact.

This early‑career role focuses on Generative AI, intelligent agents, and production‑grade tools, collaborating with strategy and product stakeholders to deliver results.

Qualifications

  • 1–3 years of data science, ML, or applied AI experience.
  • Use of large language models (LLMs) and prompt engineering.
  • Familiarity with data analysis and ML fundamentals.
  • Proficiency in Python and/or R for ML workflows.
  • SQL and relational databases experience.
  • Exposure to agentic AI or orchestration frameworks is a plus.
  • Familiarity with cloud platforms, especially AWS, is a plus.

Responsibilities

  • Design, build, and deploy AI agents and generative AI applications, from prototypes to production.
  • Evaluate model performance using appropriate metrics and monitoring.
  • Collaborate with Strategy & Growth to translate business challenges into AI workflows.
  • Perform data analytics, ETL, dashboards, and ad hoc analyses as needed.
  • Support in‑house digital products with potential commercial value.
  • Explore emerging AI tech and practical applications for the team.

Skills

Years of experience
LLM experience
Python/R
SQL
Cloud platforms
CI/CD tooling

Education

Bachelor's or higher in CS/Math/Stats

Tools

Claude/GPT-4 APIs
LangChain
Git
AWS Bedrock

Job description

Memorial Sloan Kettering Cancer Center (MSK) seeks a Data Scientist I to join the Strategy & Growth team in New York. You'll build AI-powered solutions to automate workflows, support commercialization, and drive organizational impact.

This early‑career role focuses on Generative AI, intelligent agents, and production‑grade tools, collaborating with strategy and product stakeholders to deliver results.

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