Senior Applied Data Scientist | NDA

📋 Description

• Build new ML, embedding, and LLM-based approaches for matching entities
• Improve how the system handles messy data, including name variations, aliases, domains, websites
• Develop scoring and ranking approaches to distinguish accurate matches from duplicates
• Evaluate and implement AI and machine learning techniques to improve matching quality while
• Design approaches that can operate efficiently at scale, taking model usage and computational cost
• Define and improve methods for evaluating match quality, including precision, recall, false

🎯 Requirements

• 5–8 years of relevant experience in Data Science, Applied Data Science, Applied Machine Learning
• Strong applied ML fundamentals, with hands-on experience building and evaluating models on real data
• Excellent Python and SQL skills
• Practical experience with embeddings, semantic similarity, LLMs, or related AI techniques
• Hands-on experience training supervised and unsupervised models, including classification and NLP
• Working knowledge of neural network and transformer architectures