Data Scientist Intern

Responsibilities

• Analyze structured and unstructured recruiting data, including resumes, interview responses, candidate evaluation results, and hiring funnel data.
• Develop metrics and analytical frameworks for measuring candidate quality, interview performance, evaluation consistency, and recruiting efficiency.
• Analyze AI interviewer and LLM-generated evaluation results to identify patterns, failure cases, bias, and opportunities for improvement.
• Design experiments to evaluate different prompts, interview strategies, scoring rubrics, and AI evaluation models.
• Build statistical or machine learning models for problems such as candidate-job matching, candidate ranking, interview outcome analysis, and recruiting funnel prediction.
• Develop datasets and evaluation pipelines for measuring the quality of LLM-based recruiting systems.

Languages