Log In
Sign Up
Job Description ABOUT BOSE 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 Co-Op 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 immerse yourself into Bose for 6 months and get the opportunity to grow the skills your learned in the classroom with hands on work experience. 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 an in depth look at your area of expertise, we’ll expose you to other areas of the company. Our Co-Ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You’ll network with other Co-Ops and colleagues to grow your network for the future!
Timeframe – January-June 2024
THE ROLE
Bose is about better sound, but better sound is just the beginning. We are about inventing new technologies that truly benefit people and creating a culture where innovation and teamwork are highly valued. Working at Bose, you are encouraged to question conventional thinking in the relentless quest to create products and experiences that change people’s lives. Data science, ML, and analytics are crucial parts 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.
The Data and Analytics Center of Excellence is looking for students to join our Co-Op Program and apply their data science knowledge to real-world challenges. In this role, you will be responsible for creating predictive models to analyze structured and unstructured data. You will apply your knowledge of statistics, data science, and ML and your willingness to write functional code to solve for problems in areas such as price optimization, demand forecasting, drivers of customer loyalty, real-time personalization, and more.
Responsibilities
- Engage with business partners and stakeholders 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 stakeholders.
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 strategic 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 [email protected] and let us know the nature of your request and your contact information.
