Lead Data Scientist
Core
Building Generative AI Analytics infrastructure, supply/demand matching algorithms, and forecasting models to empower internal teams and optimize marketplace operations.
Role type
Senior individual contributor Lead Data Scientist
Builds
Generative AI Analytics platform, semantic layer, fraud detection models, marketplace ranking/recommendation systems, and business forecasting models
Domain
AI/ML, Data Infrastructure, Two-sided Marketplace
Deliverable
production ML models
Required skills
SQL, Python, Snowflake, LLM deployment, evaluation frameworks, predictive modeling, search/ranking algorithms, system architecture
Preferred skills
Streamlit, Snowflake Cortex, A/B testing, data labeling, marketplace business models
Technologies
Snowflake, Python, LLMs, Streamlit
Responsibilities
Build and maintain end-to-end Generative AI Analytics infrastructure; Deploy fraud detection and contributor quality models; Architect search, ranking, and recommendation models for marketplace matching; Build predictive models to improve business forecasting accuracy; Identify and prioritize high-value data science opportunities; Advise leadership on data architecture and applied data science
Seniority
Senior, hands-on IC
