Data Scientist Intern
Core
Intern role focused on analyzing recruiting data and improving AI-driven candidate evaluation and hiring decision-support systems.
Role type
Data Scientist Intern
Builds
Candidate evaluation models, recruiting analytics, and AI system quality metrics for an AI-native recruiting platform.
Domain
AI/ML in recruiting and talent intelligence
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, statistics, experimental design, data visualization, machine learning concepts
Preferred skills
scikit-learn, PyTorch, TensorFlow, LLMs, prompt engineering, NLP, A/B testing, causal inference
Technologies
Pandas, NumPy, LLMs, RAG, cloud platforms
Responsibilities
Analyze structured and unstructured recruiting data; Develop metrics for candidate quality and interview performance; Analyze AI interviewer and LLM-generated results; Design experiments for prompts and evaluation models; Build statistical or ML models for matching and ranking; Develop datasets and evaluation pipelines for LLM systems; Perform exploratory data analysis and create dashboards; Collaborate with product and engineering teams to implement insights; Establish data quality checks and reproducible workflows; Explore new ML and generative AI applications in recruiting.
Seniority
Intern
