Remote-first US-based Staff Data Scientist role owning end-to-end analytics and ML solutions for new financial products, from experimentation through production. Requires 7+ years in data science (PhD preferred), experience in financial services and cashflow/bank transaction data, proficiency in Python and SQL, and experience with neural networks, LLMs/GenAI and Spark/PySpark.

Lead design and implementation of Zip’s enterprise Data & AI Platform to support analytics, machine learning, Generative AI and Agentic AI. Responsibilities include building scalable batch and real-time pipelines, vector search and RAG capabilities, lakehouse/open table formats, governance, observability, and mentoring engineers. Requires 8+ years' experience and deep expertise with cloud data platforms and tools (SQL, Python, dbt, Airflow/Dagster, Kafka/Spark). Salary range listed: $134,000–$168,000/year. Visa sponsorship is not available.