Data Scientist

Intuitive Surgical; Sunnyvale (CA); Hybrid; USD 128,000 - 216,000; Full time

Job summary

Intuitive Surgical is seeking an early‑career Data Scientist (Data Scientist 2) to contribute to Global Operations analytics. You will translate business questions into analytical approaches, apply statistics and ML, and build dashboards and data products using R and Python.

The role leverages Gen AI tools to accelerate prototyping, supports supply chain risk minimization, and collaborates with analysts and stakeholders across manufacturing operations.

Qualifications

• Experience with Python or R for data-based solutions.
• Foundational knowledge of statistical techniques and ML concepts.
• Familiarity with SQL across multiple tables.
• Hands-on experience with Gen AI/LLM tools for coding and analysis.
• Experience building dashboards or data products.

Responsibilities

• Translate business questions into analytical approaches with senior guidance.
• Apply statistical methods and ML to derive insights from data.
• Build and maintain dashboards and data products using R and/or Python.
• Source and analyze data with Snowflake and SQL.
• Prototype Gen AI/LLM-powered features to create business value.

Skills

Python

R

Statistics

Machine learning

Gen AI

Data visualization

Education

Bachelor’s degree in Statistics/CS/Math/Data Science or similar

Tools

Snowflake

SQL

Git

CI/CD

Claude Code

Job description

Intuitive Surgical is seeking an early-career Data Scientist (Data Scientist 2) to contribute to data science and analytics efforts within Global Operations. This role focuses on minimizing supply chain risk and improving manufacturing operations, combining statistical methods with machine learning, analytics product development, and Gen AI-assisted prototyping.

Location and Work Setup

• Location: Sunnyvale, CA, United States (onsite)
• Workplace Type: Remote. Employees will come onsite when requested by the leader.
• Shift: Day

Compensation

Estimated salary range: USD 127,600 - 215,900 per yearly.

• Base Compensation Range Region 1: $150,100 USD - $215,900 USD
• Base Compensation Range Region 2: $127,600 USD - $183,500 USD

Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law.

Summary of the Role

The position supports Global Operations analytics initiatives under the guidance of senior team members. You will translate business questions into analytical approaches, apply statistical and machine learning techniques to company data, and build reports, dashboards, and data products using R and/or Python. The role also includes using Gen AI/LLM-based coding tools to accelerate prototyping and explore LLM-powered features that create business value.

Responsibilities

• Support data science and analytics initiatives across Global Operations under guidance from senior team members
• Translate well-defined business questions into analytical approaches with support from senior Data Scientists
• Apply statistical methods and machine learning techniques to generate insights from company data
• Build and maintain reports, dashboards, and data products using the R and/or Python ecosystem
• Use Snowflake and SQL to source, transform, and analyze datasets
• Leverage Gen AI and LLM-based coding tools (for example, Claude Code or similar) to accelerate development, testing, and documentation
• Explore and prototype Gen AI/LLM-powered features and products that create new business value
• Present findings and recommendations to team members and business stakeholders
• Learn and apply best practices for reproducible, well-documented analytics
• Collaborate with data analysts and business users across Global Operations to support long‑term reporting needs
• Build technical skills over time, including emerging Gen AI tooling, through mentorship and self‑directed learning

Required Qualifications

• Experience developing data‑based solutions in either the Python or R ecosystem (through coursework, internships, or personal projects)
• Foundational knowledge of statistical techniques and machine learning concepts
• Familiarity with SQL, including querying across multiple tables
• Hands‑on curiosity with Gen AI/LLM tools (for example, Claude, Claude Code, or similar) for coding, analysis, and exploration
• Experience building dashboards, reports, or other data products (academic, internship, or professional)
• Proven problem‑solving, quantitative, and analytical abilities
• Statistical skills and familiarity with common methods
• Excellent communication skills and ability to present findings clearly
• Inquisitiveness with a desire for continuous learning and improvement
• Minimum Quantitative Bachelor’s degree (Statistics, Computer Science, Math, Data Science or Similar) or equivalent professional experience
• Typically 0‑2 years of related experience with a University degree, or equivalent internship, research, or academic project experience

Technologies

• R
• Python
• Snowflake
• SQL
• Gen AI
• LLM‑based coding tools
• Claude
• Claude Code
• Git
• CI/CD

Preferred Skills and Experience

• Quantitative advanced degree (Statistics, Computer Science, Math, Data Science or Similar)
• Experience with Git‑based workflows and collaborative development
• Experience with CI/CD concepts
• Experience building or prototyping LLM‑powered applications (such as agentic workflows, RAG, or chatbots)
• Experience with Posit platforms (Workbench, Connect)
• Internship, coursework, or project experience in manufacturing, supply chain, or operations analytics

Additional Information

• Intuitive and/or its customer(s) may require proof of current vaccination against certain diseases including COVID-19; requirements vary by role.
• Intuitive is an Equal Opportunity Employer.
• U.S. Export Controls may apply to some roles. Certain candidates may be subject to licensing and/or a Technology Control Plan (TCP).
• For roles subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the start date.
• Qualified applicants with arrest and conviction records will be considered in accordance with fair chance laws.
• Preference may be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.
• This position may be filled at a different job level depending on business need and/or candidate experience, knowledge, and skills.
• Intuitive provides reasonable accommodations to qualified individuals with disabilities. Contact [e-mail].
• Intuitive offers market‑competitive compensation packages inclusive of base pay, incentives, benefits, and equity.