Senior Financial AI/ML Scientist (Remote)

zipcolimited; United States; Remote; USD 162,000 - 203,000; Full time

Benefits offered by this job

Flexible working culture

Unlimited PTO

401k match

Job summary

Zip seeks a Senior Data Scientist II to advance modeling capabilities across financial products, leveraging bank transaction data and other rich sources. You will own end-to-end modeling work, from concept to production, with a focus on ML, algorithmic, and AI-centric approaches that balance risk and growth.

Remote-first role for US-based employees with optional in-person collaboration at our Manhattan office; you’ll collaborate with data science and ML engineering teams to ship impactful models

Qualifications

• Advanced degree in a quantitative field (PhD preferred).
• 5+ years of Data Science experience, including PhD work.
• Experience with data relevant to Financial Services.

Responsibilities

• Design, build, evaluate, and iterate on AI/ML models leveraging bank transaction data to enable new product capabilities.
• Experiment rapidly and provide proofs of concept for testing and refinement.
• Own end-to-end modeling solutions from development to production monitoring.
• Communicate findings and tradeoffs to business stakeholders.
• Collaborate with Data and ML Engineering teams for data availability and scalability.

Skills

Data science

Python

SQL

Spark/PySpark

ML algorithms

GenAI / LLMs

Experimentation

Problem solving

Communication

Independent work

Education

PhD (preferred) in quantitative field

Tools

Git

Job description

Zip seeks a Senior Data Scientist II to advance modeling capabilities across financial products, leveraging bank transaction data and other rich sources. You will own end-to-end modeling work, from concept to production, with a focus on ML, algorithmic, and AI-centric approaches that balance risk and growth.

Remote-first role for US-based employees with optional in-person collaboration at our Manhattan office; you’ll collaborate with data science and ML engineering teams to ship impactful models