Principal Data Scientist - Consumer

What you'll do

• Define, build, and deploy recommendation, ranking, and personalization systems across shopping and marketing channels.
• Lead development and evaluation of LLM-powered consumer agents, and run experiments connecting model performance to business outcomes.
• Set technical direction, mentor data scientists, and partner with Product and Engineering on production systems and the roadmap.

What they ask for

• 10+ years in data science or machine learning, or 8+ years with a PhD in a quantitative field.
• Track record shipping recommendation, ranking, or personalization systems that measurably improved consumer metrics at scale.
• Hands-on experience building agentic AI systems with LLMs, including tool design, retrieval-augmented generation, multi-step agents, and evaluation.
• Expert Python, strong SQL, and hands-on Snowflake experience.

Nice to have

• Experience with Databricks or similar platforms, or with dbt, Airflow, or similar data-pipeline tools.
• Experience in e-commerce or marketplaces, real-time recommendations, contextual bandits, or reinforcement learning.

Pay

$180,000 - $240,000 USD base salary

Tools

Python, pandas, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Snowflake

AI focus

Build consumer-facing LLM agents for planning, discovery, and reordering; combine LLMs with classic machine learning in production, and evaluate agent quality and safety. Use AI coding assistants such as Claude.