Data Meaning is hiring a
Data Scientist

Summary

Data Meaning is seeking a skilled and innovative Data Scientist to join their team and focus on developing and optimizing LLM applications. The ideal candidate will have strong analytical skills, experience with machine learning and NLP, and a passion for using data to create impactful solutions. Responsibilities include model development, data analysis, context data identification, algorithm implementation, collaboration, experimentation, documentation, and continuous learning.

Responsibilities

• Model Development: Design, develop, and optimize LLM models to meet business objectives and improve user experiences
• Data Analysis: Analyze large datasets to extract meaningful insights and identify trends that can inform LLM application development
• Context Data Identification: Identify and curate the necessary context data to support and enhance LLM applications
• Algorithm Implementation: Implement and fine-tune machine learning algorithms to ensure high performance and accuracy of LLM models
• Collaboration: Work closely with software engineers, product owners, and business analysts to integrate LLM models into applications and systems
• Experimentation: Conduct experiments to test and validate model performance, and iterate on models based on findings
• Documentation: Create and maintain comprehensive documentation of models, algorithms, and data pipelines
• Continuous Learning: Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies, and apply this knowledge to improve existing models and processes