Senior/Staff Data Scientist, Storefront

What you'll do

• Build and refine near-real-time personalization, search, and relevance-ranking models; deploy them in production and run live experiments.
• Develop automated modeling pipelines and partner with Engineering on tracking, data quality, and performance monitoring.
• Translate business goals into data science solutions and communicate results to product, business, and leadership teams.

What they ask for

• Proven experience developing and deploying production-grade recommender systems, relevance ranking, or personalization pipelines.
• Experience with Generative AI or LLM application workflows, such as text parsing or context-driven query understanding.
• Proficiency in Python and SQL, with production knowledge of data science and machine-learning libraries.
• Strong productionalization skills and ability to balance model accuracy with latency and engineering constraints.

Nice to have

• Experience replacing or augmenting traditional NLP systems with LLMs.
• Familiarity with Looker or Tableau, or experience writing data product specifications with distributed engineering teams.

Pay

$171,000 — $285,000 USD base salary

Tools

Python, SQL, Large Language Models (LLMs), Claude, GPT, Looker, Tableau

AI focus

Build near-real-time personalized and Generative AI-driven storefront experiences, including LLM-powered natural-language search, query understanding, semantic search, and language retrieval.