Tech Stack

Description

You'll work with rich transaction and product data to build recommendation and prediction models that match customers with the right products and improve their journey. You'll translate raw data into meaningful insights and productionalized data products, collaborating with cross-functional teams to drive value.

Requirements

• 3+ years experience in data science/modeling ideally in predictive modeling or recommender systems
• Advanced Python and SQL skills
• Experience with big data
• Ideally experience with financial/transaction data or familiarity with brand data
• Familiarity with Snowflake or similar data warehouse tools
• Bias for action and comfort working with ambiguity
• Ability to thrive in a fast-moving, collaborative, mission-driven team
• Clear communicator who brings clarity, not complexity
• Scrappy, resilient, and energized by building things that work in the real world at scale
• Preference for candidates located in New York
• Must be authorized to work for any employer in the U.S.

Responsibilities

• Translate raw data into meaningful insights and productionalized data products
• Build and maintain scalable, interpretable user prediction models that drive product value
• Build and own user content recommendation models that drive user engagement
• Develop and maintain risk models that drive product safety and business value
• Collaborate with Engineering, Analytics, Data Engineering, Product, and Operations teams to refine models and drive value
• Stay current on AI and emerging technologies to guide modeling & engineering best-practices