Job Location: United States
About Bose
Job Description
You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing.
Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.
THE PROGRAM
We’re looking for students to join our Internship Program who are obsessively curious about ‘what’s next’. You’ll get hands on experience with our products and learn from the best of the best in the business. You will complete a specific project in 10-12 weeks with us, while integrating into your team. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career!
Opportunities don’t stop at your day-to-day work. While you’re getting a targeted look at your area of expertise, we’ll expose you to other areas of the company. Our interns are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You’ll network with other interns and colleagues to grow your network for the future!
Timeframe – June-August 2023
THE ROLE
Are you passionate about applying data science to real business and customer needs? We strive to bring products into the world that people truly love, and we don’t stop until the details are just right. Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, help us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences.
We are looking to bring in a forward-thinking and hardworking data science intern within our Data and Analytics COE. The mission of this team is to develop world-class data science, machine learning, and statistical solutions to extract insights and enable data driven decisions that improve our business and enhance customer experiences. We achieve this by providing algorithmic and statistical expertise across the company to answer some of the most meaningful decisions in areas such as price optimization, demand forecasting, drivers of customer loyalty, real-time personalization, and more.
Responsibilities
- Engage with business patners to understand business problems and translate into data science solutions.
- Collaborate with data science, data engineering, and data governance resources to achieve business outcomes.
- Partner with other data scientists in the development and deployment of predictive and prescriptive models for marketing, sales, finance, supply chain, and other business applications.
- Explore large datasets using modeling, analysis, and visualization techniques.
- Apply frequentist and Bayesian statistical inference tools to experimental and observational data.
- Communicate results, analyses, and methodologies to technical and non-technical partners.
Education
- Seeking a degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field.
- Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science.
- Completed coursework related to Business/Management or Business/Customer Analytics preferred.
Skills
- Experience applying data science, AI/machine learning, and analytics techniques to business problems.
- Excellent critical thinking, communication, collaboration, and problem-solving skills.
- Strong programming background with experience in Python.
- Strong understanding of machine learning core concepts and techniques.
- Statistical inference (including frequentist and Bayesian) concepts and techniques preferred.
- Experience solving real-world problems with data at IoT scale using tools such as SQL, Spark, and Python is preferred.
Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company’s pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information.
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