AI Data Scientist

The Ladders
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$130,000.0 - $160,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computational Linguistics Machine Learning Natural Language Processing Software Deployment Large Language Models Deep Learning Generative AI Build Management Information Technology Data Pipelines

Job 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

Requirements

  • 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

Benefits & conditions

  • Hybrid work model available in Houston or fully remote in Canada
  • Opportunity to influence product intelligence and model quality for thousands of customers
  • Mentorship opportunities to elevate team standards and practices
  • Work alongside a talented team dedicated to solving complex problems
  • Engage in a culture of curiosity, scientific rigor, and continuous learning

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.

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