Data Science Co-Op (NLP & GenAI)

Bose Corporation, U.S.A•Framingham, MA

3d•Onsite

About The Position

Bose Corporation is seeking students for its Co-Op Program to gain hands-on experience with products and learn from industry experts. The program lasts for 6 months, allowing interns to apply classroom skills to real-world projects and make a significant impact on Bose's future. Co-Ops will be exposed to various company areas and have opportunities to connect with senior leadership and network with peers. This role focuses on data science, machine learning, and analytics to drive innovation in product development and customer experiences. The Data and Analytics Center of Excellence is looking for students to apply their data science knowledge to real-world challenges, specifically in creating predictive models for structured and unstructured data, with a focus on NLP and GenAI.

Requirements

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, etc.
Good interpersonal, communication, and presentation skills.
Developing expertise in analytics, BI, statistics, data science, or a related area.
Two years of experience with SQL, Python, pandas, and scikit-learn.
Experience fitting and evaluating classical ML models (Logistic Regression, Random Forests, Multi-layer Perceptron, etc.).
Prior NLP experience, including working with LLMs, fine-tuning transformer architectures (e.g., BERT, GPT, T5), semantic search, or text summarization.

Nice To Haves

Proven data science experience via an internship, work experience, competitions, etc.
Knowledge of deep learning basics.
Experience with Databricks and Snowflake.
Familiarity with LangChain, Hugging Face Transformers, Llama 3.x, OpenAI APIs, Pydantic, MLflow, and Streamlit.
Working knowledge of Git and GitHub.

Responsibilities

Engage with business partners and stakeholders to understand their challenges and opportunities.
Explore large datasets using modeling, analysis, and visualization techniques.
Transform the results into insights and recommendations.
Contribute to the end-to-end development of predictive and prescriptive models for marketing, sales, finance, supply chain, and other business applications.
Design, build, and optimize workflows to streamline and automate the processing and delivery of data.
Develop and maintain applications that deliver unique, insightful capabilities to empower end users through interactive and intuitive interfaces.