Senior Data Scientist – Generative AI

Triwill Group; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Triwill Group, partnering with a client, seeks a Senior Data Scientist specialized in Generative AI based in the United States. You will design and deliver GenAI applications that transform unstructured data into actionable business insights, building scalable LLM-powered solutions to improve operations and customer experiences.

You will collaborate with data, product, engineering and platform teams, taking high-value AI use cases from concept through production while upholding rigorous

Qualifications

• Advanced degree in a relevant field (CS/ML/math).
• Strong background in ML, NLP and GenAI.
• Experience delivering enterprise GenAI solutions.

Responsibilities

• Design and deploy GenAI applications that turn unstructured data into insights.
• Collaborate with data, product, engineering and platform teams to scale solutions.
• Ensure reliability, security and responsible AI in production.

Skills

Generative AI

Large Language Models

NLP

Applied Machine Learning

Education

Master's degree or PhD in CS/ML/Applied Math

Tools

Python

TensorFlow/PyTorch

Cloud platforms (AWS/GCP/Azure)

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist – Generative AI based in the United States.

This role offers the opportunity to design and deliver innovative Generative AI applications that transform complex, unstructured data into actionable business insights. You’ll build scalable LLM-powered solutions that improve operational efficiency, inform strategic decisions, and enhance customer experiences. Working across data, product, engineering, and platform teams, you’ll take high-value AI use cases from concept through production. The role combines applied machine learning, NLP, agentic AI, and strong software engineering practices. You’ll work with modern cloud and data platforms while establishing rigorous standards for evaluation, reliability, security, and responsible AI. This is a hands‑on opportunity to help shape enterprise‑grade GenAI capabilities in a collaborative, impact‑focused environment.