Data Science Co-Op (NLP)

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. We’ve dedicated ourselves to improving it for nearly 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.The Corporate Strategy team at Bose works on some of the company’s most important business and growth initiatives. We work closely with executive leadership and cross-functional teams across the company to analyze market opportunities, create winning strategies, and inform important decisions with insightful, data-driven recommendations based on a deep knowledge of the business, customers, and external market factors.Job DescriptionTHE PROGRAMWe'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 2025THE ROLEBose 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 explore problems and uncover patterns in data. This role is focused on NLP and prior experience is highly recommended.Responsibilities (include, but are not limited to):• Explore and analyze large datasets using modeling, analysis, and visualization techniques to derive actionable insights and recommendations.• Collaborate with business partners and stakeholders to understand their challenges and data-driven needs.• Contribute to the full lifecycle of predictive and prescriptive model development, supporting areas such as marketing, sales, finance, supply chain, and other key business functions.• Apply both Frequentist and Bayesian inference methodologies to experimental and observational data, helping to derive robust conclusions.Required Qualifications:• Currently enrolled in a bachelor’s or master’s degree program in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Information Science, or a related discipline.• Good interpersonal, communication, and presentation skills.• Developing expertise in analytics, BI, statistics, data science, or related fields.• At least two years of hands-on experience with SQL, Python, pandas, and scikit-learn.• Experience in fitting and evaluating classical ML models such as Logistic Regression, Random Forests, and Multi-layer Perceptron.• Prior experience in NLP, including tasks such as NER, coreference resolution, or using models like BERT, T5, and others.Preferred Qualifications:• Proven data science experience demonstrated through internships, work experience, competitions, or similar projects.• Understanding of deep learning fundamentals.• Experience with advanced NLP techniques such as semantic search, LLMs, or prompt engineering.• Experience building and deploying applications using Streamlit.• Proficiency in using Git and GitHub for version control and collaboration.• Hands-on experience with Databricks or Snowflake.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.Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.If you believe you need a reasonable accommodation, please send a note to wellbeing@bose.com