Senior Data Scientist — Global Operations Analytics (Onsite Weekly)

Intuitive; Peachtree Corners (GA); On-site; USD 152,000 - 178,800; Full time

Job summary

Intuitive is seeking a senior‑level Data Scientist to lead complex analytics supporting Global Operations. The role focuses on minimizing supply chain risk and optimizing manufacturing operations to improve patient outcomes.

You will apply advanced statistics, ML, and LLM techniques to enterprise data and deliver production‑ready analytics and dashboards. The position requires extensive experience with R or Python, SQL, and governance‑minded analytics.

Qualifications

• Extensive experience using R and/or Python for data science projects.
• Strong SQL skills across large multi‑table datasets.
• Advanced statistics, predictive modeling, and ML techniques.
• Experience with using LLMs for problem solving.
• Ability to lead complex analytics with limited supervision.
• Production‑grade analytics, dashboards, or data products.

Responsibilities

• Lead high‑impact data science initiatives across Global Operations with minimal supervision.
• Frame ambiguous business problems and define analytical approaches.
• Apply statistical, predictive, and ML techniques to enterprise data for actionable insights.
• Design and maintain production‑quality analytics and dashboards using the R ecosystem.
• Work with Snowflake to source, transform, and analyze large datasets using advanced SQL.
• Develop scalable analytics leveraging Posit platforms and deployment tooling.
• Present insights to senior management and cross‑functional leadership.
• Mentor and guide junior data scientists and analysts.

Skills

R

Python

SQL

Statistics

Machine Learning

LLM usage

Data Visualization

Leadership

Education

Bachelor's degree in quantitative field

Tools

Snowflake

Posit Workbench

Git

CI/CD for analytics

Job description

Intuitive is seeking a senior‑level Data Scientist to lead complex analytics supporting Global Operations. The role focuses on minimizing supply chain risk and optimizing manufacturing operations to improve patient outcomes.

You will apply advanced statistics, ML, and LLM techniques to enterprise data and deliver production‑ready analytics and dashboards. The position requires extensive experience with R or Python, SQL, and governance‑minded analytics.