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# AI Data Scientist

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $130,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computational Linguistics, Machine Learning, Natural Language Processing, Software Deployment, Large Language Models, Deep Learning, Generative AI, Build Management, Information Technology, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8fy4k25m

## About the Role

* Master's degree in Computer Science, Data Science, Computational Linguistics, Statistics, Mathematics, Engineering, or a related field; Ph.D. preferred
 * 10+ years of experience in data science, machine learning, NLP, or AI with hands-on experience in deploying NLP and/or GenAI solutions
 * Proven track record of taking ML, NLP, or GenAI solutions from experimentation to production
 * Ability to translate open-ended research into practical outcomes
 * Excellent communication skills with experience as a senior contributor across technical teams

## Description

This role will focus on advancing intelligent capabilities across the company's platform through applied machine learning, NLP, and Generative AI. You will help turn open-ended technical challenges into scalable, production-ready solutions that improve model quality and support a wide range of customer use cases. The position partners closely with technical teams to design rigorous experiments, evaluate model performance, and drive continuous improvement from research through deployment., * Research and evaluate emerging NLP, machine learning, deep learning, and Generative AI techniques

 * Investigate ambiguous technical problems, form hypotheses, and run comparative experiments
 * Design and build NLP, statistical ML, deep learning, and transformer-based solutions
 * Develop data pipelines and establish data-quality strategies for evolving use cases
 * Develop and evaluate LLM and GenAI solutions, optimizing models based on various criteria
 * Design rigorous experiments and benchmarks to measure and improve systems
 * Take NLP and AI solutions from research to production deployment and ongoing optimization