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# Data Scientist

- **Company:** Jobot
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $130,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Database Queries, Python (Programming Language), Machine Learning, Large Language Models, Information Technology, Machine Learning Operations
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/fc3dac50-b298-449d-93fd-1b5e290fdf5a

## About the Role

This is a highly visible role requiring both deep technical expertise and the ability to communicate effectively with non-technical stakeholders., * Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Mathematics, Engineering); Master's or Ph.D. is a plus, but not required

 * Strong experience in data science, AI, or machine learning
 * Hands-on experience with LLMs (required)
 * Proficiency in Python or R
 * Strong SQL skills
 * Proven track record of building and deploying machine learning models
 * Experience supporting AI development and ML training workflows

Preferred Experience

 * Industry experience in insurance, reinsurance, financial services, or fintech
 * Exposure to productionizing AI models in enterprise environments
 * Experience working with large-scale or complex datasets

## Description

We are seeking a Senior Data Scientist to drive advanced analytics and AI initiatives, with a strong emphasis on large language models (LLMs) and machine learning systems. This role will partner cross-functionally with business and technical teams to build scalable data solutions, translate complex insights, and help shape AI-driven strategy., * Design, develop, and deploy AI/ML models, with a focus on LLM-based solutions

 * Build and optimize data models and pipelines to support analytics and AI initiatives
 * Support AI development lifecycle, including model training, validation, and deployment
 * Partner with cross-functional teams to identify business problems and deliver data-driven solutions
 * Translate complex technical concepts into clear, actionable insights for non-technical stakeholders
 * Continuously evaluate and improve model performance and scalability
 * Act as a thought partner to the business-bringing a solutions-oriented mindset to challenges
 * Own problems end-to-end, from concept through execution and iteration


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