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 2025

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 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.