Data Science Co-Op, NLP, GenAI

Bose Corporation

. Engage with business partners and stakeholders to understand their challenges and opportunities .

Posted 10/2/2026full-timeFramingham • Massachusetts • United StatesEntry Level💰 $22 - $32 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and analytics, with a strong focus on predictive modeling, natural language processing, and machine learning. Proficient in SQL, Python, and data visualization techniques to derive actionable insights from complex datasets.

Highest-signal resume keywords

SQLPythonData ScienceNatural Language ProcessingMachine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

StatisticsPredictive ModelingData AnalysisMachine Learning ModelsLogistic RegressionRandom ForestsMulti-layer PerceptronData VisualizationDeep Learning BasicsData Processing

Soft Skills

Interpersonal SkillsCommunication SkillsPresentation Skills

Tools & Technologies

PandasScikit-learnDatabricksSnowflakeLangChainHugging Face TransformersLlama 3.xOpenAI APIsPydanticMLflow

Industry Keywords

Business IntelligencePredictive AnalyticsPrescriptive ModelsData Processing WorkflowsQuantitative Analysis

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Engage with business partners and stakeholders to understand their challenges and opportunities
Explore large datasets using modeling, analysis, and visualization techniques
Transform analytical 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 data processing and delivery
Develop and maintain applications that provide insightful capabilities through interactive and intuitive interfaces
Apply statistics, data science, and machine learning to structured and unstructured data
Create predictive models focused on NLP and GenAI

Requirements

What you’ll need

Currently enrolled in a bachelor's or master's degree program in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, or Information Science
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, including Logistic Regression, Random Forests, and Multi-layer Perceptron
Prior NLP experience, including working with LLMs, fine-tuning transformer architectures such as BERT, GPT, or T5, semantic search, or text summarization
Proven data science experience via an internship, work experience, competitions, etc. (preferred)
Knowledge of deep learning basics (preferred)
Experience with Databricks and Snowflake (preferred)
Familiarity with LangChain, Hugging Face Transformers, Llama 3.x, OpenAI APIs, Pydantic, MLflow, and Streamlit (preferred)
Working knowledge of Git and GitHub (preferred)

Benefits

Comp & perks

Bonus programs
Comprehensive health and welfare benefits
401(k) plan
Exclusive perks designed to support wellbeing
Generous employee discount
Hands-on work experience and professional growth opportunities
Networking opportunities with senior leadership, Co-Ops, and colleagues