Job DescriptionPrimary Function of Position We are looking for a Data Scientist to support data science and analytics initiatives across Global Operations. Minimizing supply chain risk and optimizing manufacturing operations are critical to enabling surgeons and healthcare institutions to deliver better patient outcomes.
This is an early career position with consideration for recent graduates beginning a data science career. The Data Scientist 2 applies foundational data science and analytical concepts under general supervision, building toward greater independence over time. This role is expected to bring curiosity and hands-on comfort with Gen AI and LLM tools, using them both to accelerate day-to-day analysis and to help prototype new AI-powered data products.
Essential Job Duties • Support data science and analytics initiatives across Global Operations under the guidance of senior team members
• Help translate well-defined business questions into analytical approaches with support from senior Data Scientists
• Apply statistical methods and machine learning techniques to company data to generate insights
• Build and maintain reports, dashboards, and data products using the R and/or Python ecosystem
• Work with Snowflake and SQL to source, transform, and analyze datasets
• Use Gen AI and LLM-based coding tools (e.g., Claude Code or similar) to accelerate the development, testing, and documentation of analytics solutions
• Explore and help 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
• Continuously build technical skills, including in emerging Gen AI tooling, through mentorship and self-directed learning
Required Skills and Experience• Experience in either the Python or R ecosystem developing data-based solutions (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 (e.g., 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 the ability to present findings clearly
• Inquisitiveness with a desire for continuous learning and improvement
QualificationsRequired Education and Training - 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
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 applications powered by LLMs (e.g., agentic workflows, RAG, chatbots)
• Experience with Posit platforms (Workbench, Connect)
• Internship, coursework, or project experience in manufacturing, supply chain, or operations analytics
Additional InformationDue to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.
