Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops)

What you'll do

• Build and deploy search, retrieval, ranking, and personalization models and production ML workflows.
• Design experiments and analyze metrics to improve relevance, engagement, conversion, and customer satisfaction.
• Partner with product, engineering, and infrastructure teams to deliver scalable, reliable systems and mentor junior scientists.

What they ask for

• 3+ years of industry experience in Machine Learning, Data Science, Search, NLP, Personalization, or related ML systems.
• Exceptional experience and understanding with retrieval/ranking systems, semantic search, NLP, vector search, or related ML domains.
• Strong coding skills in Python and SQL; experience building and deploying end-to-end production ML systems.
• Experience with distributed data processing, production ML tradeoffs, and designing experiments and interpreting online/offline metrics.

Pay

$118,000.00 - $211,000.00 (base salary)

Tools

Python, SQL, embeddings, transformers, NLP, vector search, GenAI/RAG

AI focus

Develop search and browse ML systems using semantic retrieval, ranking, query and catalog understanding, embeddings, transformers, and GenAI/RAG, including next-generation AI-native commerce discovery.