Data Science Co-Op (NLP & GenAI)

Bose Corporation•Lisbon, GA

4d•$22 - $32•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. This 6-month program, running from January 11 to June 25, 2027, offers students the opportunity to apply classroom skills to real-world projects, make a significant impact at Bose, and grow their careers. The program also provides exposure to various company departments and opportunities to connect with senior leadership and network with peers. The Data and Analytics Center of Excellence is looking for students to join their Co-Op Program and apply 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 focuses on NLP and GenAI, and prior experience is highly recommended.

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.