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# Data Scientist with Python and LLM experience

- **Company:** JPMorgan Chase & Co.
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Data Visualization, Python (Programming Language), Machine Learning, Natural Language Processing, Large Language Models, Deep Learning, Generative AI, Pandas, Information Technology, Api Design, Web Api
- **Published:** September 30, 2026
- **Apply:** https://www.careerjet.com/jobad/use18fd3c9182b068074eacdbba351ff76

## About the Role

Must Have Technical/Functional Skills
Primary Skill: Sr. Developer with strong knowledge in AI/ML, NLP, Deep Learning, LLM's,
Gen AI Models, Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems
Experience: Minimum 8 years
Roles & Responsibilities
Bachelor's or master's degree in computer science or related field.
The candidate must have strong technical background with 8+ years of IT experience. Sr. Developer with strong knowledge in AI/ML, NLP, Deep Learning, LLM's, Gen AI Models, Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems
Strong experience in Machine Learning, NLP, Deep Learning, Statistical Modeling, understanding of machine learning techniques and algorithms.
Strong hands-on in Implementing LLM Models, GEN-AI Models, OpenAI API's
Strong hands-on design and development experience in Python
Experience with data visualization tools
Worked on the Data analysis libraries like pandas
Experience in web API calls
Automations experience
Strong problem solving, analytical and interpersonal skills
Ability to work effectively in a team environment
Strong written and oral communication skills. Should have the ability to clearly express ideas
Experience working with Agile Methodology