Data Scientist, Early Career

Responsibilities

• Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents
• Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability
• Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation
• Monitor model performance and provide technical support during critical product iteration cycles

Qualifications

• Recent graduate or entry-level professional (0–2 years of experience) with a degree in Data Science, Computer Science, Statistics, or a related quantitative field
• Strong programming skills in Python and proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn
• Practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs
• Excellent communication skills with the ability to articulate technical methodology and complex modeling results to the broader team
• Must live in and be authorized to work in the United States