AI/ML Data Scientist
IntuitiveAbout the role
Company Description
It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.
We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.
The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.
If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.
Job Description
Primary Function of Position
The AI/ML Data Scientist is pivotal in identifying and prioritizing business opportunities for leveraging Machine Learning (ML) to drive substantial value and innovation across the organization. This role involves building and deploying ML applications on a centralized ML platform, facilitating the cross-pollination of ML algorithms across different portfolio teams, and championing the development of shared ML codebases. The AI/ML Data Scientist collaborates with business stakeholders to understand their challenges, developing and scaling ML-driven solutions that are integrated into the organization's data ecosystem.
Essential Job Duties
Collaborate with business units to identify challenges and opportunities where ML can drive value; conduct data exploration and feasibility studies.
Take part in developing a long-term ML strategy and roadmap, aligning with the organization's overall goals and objectives.
Design, train, and implement a range of ML models, including classical algorithms and advanced deep learning, on a centralized platform.
Oversee the lifecycle of ML models from development to deployment, monitoring, and maintenance; optimize models for performance and scalability.
Lead dissemination of ML techniques and best practices across teams to enhance collective expertise and foster collaboration.
Keep up-to-date with emerging ML technologies and methodologies to drive continuous improvement and innovation in ML initiatives.
Communicate complex ML concepts to stakeholders and translate model results into actionable business insights.
Qualifications
Required Skills and Experience
Minimum 3+ years of experience in machine learning, with a deep understanding of the latest ML research and technologies.
Strong programming skills in Python and SQL.
Strong statistical analysis skills with a solid grasp of probability and statistical theories.
Experience with a wide range of machine learning techniques, including both supervised and unsupervised learning, deep learning, and LLMs.
Proficiency with ML frameworks and libraries such as PyTorch, TensorFlow, and scikit-learn.
Familiarity with cloud-based platforms such as Snowflake and data analytics platforms like Databricks.
Excellent verbal and written communication skills, with the ability to explain complex ML concepts to non-technical audiences.
Required Education and Training
Bachelor's or Master’s degree in computer science, data science, or a related field.
Preferred Skills and Experience
Creative and analytical problem-solving skills with the ability to translate business challenges into data-driven solutions.
Experience in driving collaboration and cross-functional ML knowledge sharing across teams.
Additional Information
Due 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.
Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, nat
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