Senior Data Scientist
Core
Build, improve, and own matching and recommendation models (candidate-to-job, internal mobility) using LLMs, Transformers, and embedding models to power Beamery's Data Foundry.
Role type
Senior IC machine-learning engineer (recommender systems & NLP)
Builds
Production ML models for talent matching and workforce planning
Domain
HR Tech / AI
Deliverable
production ML models
Required skills
Recommender systems, search, ranking, matching, LLMs, Transformers, embedding models, Python, evaluation metrics (AUC, NDCG, precision, recall), LLM-as-a-judge, scientific experimentation, CI/CD
Preferred skills
Fine-tuning LLMs, explainable recommendations, conversational recommendations, HR Tech domain knowledge
Technologies
Python, LLMs, Transformers, embedding models, AI coding agents
Responsibilities
Design and run robust scientific experiments to measure model quality; write clean, tested Python code using AI coding agents; document work and present results to stakeholders; follow recent research in NLP and GenAI to update the product roadmap.
Seniority
Senior, hands-on IC
