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# Data Scientist [Multiple Positions Available]

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Python (Programming Language), Large Language Models, Prompt Engineering, Deep Learning, Scikit Learn, HuggingFace
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-scientist-multiple-positions-available-new-york-ny-usa-58851883

## About the Role

teams to deploy scalable solutions * Review scientific literature to identify state-of-the-art NLP approaches Tasks * Master's degree in a related field plus 3 years of experience in data science/ML roles * 3 years designing NLP models using Python or Java and ML libraries (Torch, Huggingface) * 1 year building LLM-based solutions with prompt/context engineering, RAG, tool calling, and agent orchestration * Experience extracting insights from financial reports and analyst notes to enable data-driven decisions in financial markets Key requirements *

## Description

Experteer Overview In this role you will design, develop, and deploy NLP-focused deep learning solutions, including large language model applications, to solve business problems. You will work with cross-functional teams to deliver scalable, production-ready models and continuously improve them through evaluation and feedback. You will stay current with NLP advances and translate research into impact on financial analytics and decision making. You will communicate results to stakeholders and shape the adoption of ML in production systems. Compensation / Benefits * Design and develop DL frameworks for NLP aligned with business requirements * Build LLM-based solutions including prompt engineering, RAG, tool calling, and agent orchestration * Create testing setups to evaluate model performance and reliability * Monitor and improve models via feedback and active learning * Present modeling results to business stakeholders (written, visual, oral) * Collaborate with engineering and product teams to deploy scalable solutions * Review scientific literature to identify state-of-the-art NLP approaches Tasks * Master's degree in a related field plus 3 years of experience in data science/ML roles * 3 years designing NLP models using Python or Java and ML libraries (Torch, Huggingface) * 1 year building LLM-based solutions with prompt/context engineering, RAG, tool calling, and agent orchestration * Experience extracting insights from financial reports and analyst notes to enable data-driven decisions in financial markets Key requirements *


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