Data Scientist

📋 Description

• Create features for models and agents; pipelines over terabytes of data.
• Engineer features to improve income/wealth and home buyer/seller models.
• Build and scale a world-class data lake for queryable data.
• Develop terabyte-scale feature pipelines with production-grade reliability.
• Validate and guard outputs so agents can act without human input.
• Own end-to-end path from raw data to deployable features/models.

🎯 Requirements

• 2-4+ years as data scientist, ML/data engineer, or data-heavy role.
• Proficient in Python and SQL.
• First-principles thinker; turn datasets into models.
• Strong data engineering/data modeling intuition; cleaning/ingestion focus.
• Strong engineering background; comfortable deploying production pipelines.
• Willingness to work in NYC office; relocation package provided.

🎁 Benefits

• Relocation package for NYC office.
• Competitive equity and marquee benefits.
• Hands-on, production-grade ML at scale.
• Collaborative, fast-growing startup culture.