Data Science and Engineering Intern

Intuitive

Dec 15, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
San Francisco

Requirements

University Hiring Program Eligibility Requirements:
University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10–12-week period starting May or June. Specific start dates are shared during the recruiting process.
Skills:
In your multifaceted role, you will leverage robust statistical analysis skills to interpret complex datasets and demonstrate proficiency in programming languages such as Python, R, or Java. Your familiarity with machine learning will be enhanced by a deep understanding of cybersecurity algorithms and the application of AI to strengthen data protection frameworks. Experience with popular machine learning libraries like PyTorch, TensorFlow or scikit-learn is expected, as is expertise in data wrangling, ensuring data cleanliness and transformation. You must also articulate complex data insights in an accessible manner.
Additionally, a foundational knowledge of software development, including best practices and versioning tools like Git, is essential, coupled with competence in SQL and NoSQL database systems. Your problem-solving abilities will be critical for navigating unexpected challenges, particularly within the realm of cyber security. Team collaboration skills are vital, and exposure to cloud technologies is a significant asset, as cloud platforms are increasingly integral to our operations and the development of scalable, secure applications.
Experience:
Projects: Previous hands-on experience with data-related projects, either academic or personal.
Coding: Should be adept in at least one programming language, preferably Python.
Tools: Experience with Data Science or Data Engineering tools. Any cloud experience can be advantageous.
Internships: Any prior internships in a related field can be advantageous.
Education:
Current Student: Enrolled in a Bachelor's or Master’s program related to Computer Science, Data Science, CyberSecurity, Engineering, Mathematics, Statistics, or a similar field.
Relevant Courses: Courses in Statistics, Data Analytics, Machine Learning, Statistics, or Linear Algebra.
Training:
Workshops: Participation in relevant workshops or hackathons.
Online Courses: Completion of online courses from platforms like Coursera, Udemy, or edX on relevant subjects.
Certifications: Any certifications related to Data Science, Machine Learning, or Programming can be beneficial.

Responsibilities

In addition to your primary responsibilities, you will be engaged in a variety of tasks integral to our team's function. You will develop and validate data-driven models, delve into datasets to identify patterns and trends, and ensure data is meticulously cleaned and prepared for analysis. Prototyping solutions and refining them through iterative feedback is also key.
Collaborative efforts with data scientists, engineers, and product teams will be essential to ensure that solutions are in line with organizational goals. Effective documentation and communication of methodologies and findings are vital, as is presenting these insights to stakeholders. Commitment to continuous learning is expected, keeping abreast of the latest developments in data science and participating in educational opportunities.
You'll contribute to software development, embedding data models into production systems with well-structured code. Monitoring the performance of deployed models for accuracy and recalibrating as necessary is crucial, as is upholding ethical standards in data handling and modeling. Finally, your role encompasses assisting with project management, helping to define and track progress against project goals and timelines.

Intuitive

A global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery.

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Employees

1995

Founded Year

Mission & Purpose

Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.