Data Science Intern - Sleep Number Labs
At Sleep Number we are improving lives every day by helping people sleep better every night. Learn more about a company that’s championing a health and wellness revolution with quality sleep at its core. Join our Sleep Number Labs Team for a 12-week internship experience.
Sleep Number Labs is the next-generation IoT company, leading a new era in AI Powered IoT. If you want to make an impact, are motivated, creative, and hardworking, then this job is for you!
As a Data Science Intern, you will play a key role in developing and implementing innovative solutions which will help us deliver maximum benefit to our customers in the form of improved sleep and sleep data-based insights.
Responsibilities:
- Work with the team to design, develop, implement, and maintain machine learning algorithms for next-generation bed platform.
- Work with the team to develop distributed applications, platform infrastructure, and interface to solve large-scale processing problems.
- Prototype custom big-data applications using scalable cloud/GPU platforms.
Work with embedded and cloud-based software engineering teams to scale and operationalize prototyped concepts and to ensure successful implementation and deployment of algorithms.
Prototype and build analytics dashboards.
Knowledge, Skills & Abilities:
- Machine learning and Signal processing
- Notions of Algorithm design
- Experience with cloud computing: AWS, Azure
- Nice to have sleep science background
Experience, Education & Certifications:
- Currently pursuing a bachelor's degree from an accredited college/university in IT or related program with the ability to learn new programming languages quickly
- BS or higher in physics, mathematics, computer science, or similar field.
- GPA requirement 3.0 or above
- Ability to complete a 4 month + internship
- Strong verbal and written communication and team player qualities
EEO Statement
Sleep Number is an equal opportunity employer, committed to recruiting, hiring and promoting qualified people of all backgrounds, regardless of sex; race; color; creed; national origin; religion; age; marital status; pregnancy; physical, mental, communicative or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law.