Data Science Intern
Blacksburg, VA, United States
Intuitive
Company Description
At Intuitive, we are united behind our mission: 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.
As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.
Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.
Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.
Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.
Job Description
Primary Function of PositionThe Data Science Intern will work with a group of talented and dedicated people focused on the development and integration of fiber optic shape sensing in medical robotics. This position's primary focus will be to perform testing and create data pathways helping manufacturing processes and driving design and performance of current and next generation robotic surgery platforms.
Essential Job Duties
- Proactively mine data to identify trends and patterns and generate insights for engineering
- Create and automate powerful yet digestible visualizations to enable unaided consumption by technical staff.
- Create and maintain data pipelines from data source through testing engines
Qualifications
Required Skills and Experience
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.
Required Education and Training
- Current enrollment in a Computer Science, Data Science, Statistics, Computer Engineering, Electrical & Computer Engineering, or related degree-seeking program at the Master’s level.
- Minimum 2 years of experience with Python programming language
- Working knowledge of database technologies (e.g. ODBC, Access, SQL)
- Excellent communication (written, verbal), presentation and documentation skills
- Bachelor’s level students would also be considered based on specific relevant experience.
Preferred Skills and Experience
- Experience with NI Labview
- Familiarity with machine learning techniques
- Experience with Snowflake database software
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 Employment 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, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
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 salary ranges are listed.
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 Employment Opportunity / Affirmative Action 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, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
We provide market-competitive compensation packages, inclusive of base pay (paid at an hourly rate), benefits, and a housing allowance. 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 relevant skills and experience for this internship, degree-seeking academic program (PhD, Master’s, Bachelor’s, etc), year in school, and location. The hourly rate is prorated against the intern program salaries listed and total program compensation will be based on internship duration.
Tags: Computer Science Data pipelines Engineering Machine Learning PhD Pipelines Python Robotics Snowflake SQL Statistics Testing
Perks/benefits: Career development Competitive pay Equity / stock options
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