Senior ML Data Scientist: Credit Risk & Fraud (Equity)

Zed; San Francisco (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

Zed, located in San Francisco, is seeking a Senior ML Data Scientist to work on innovative credit modeling using AI technology. This role involves responsibilities across credit decisioning, fraud detection, and machine learning model development.

The ideal candidate has over 7 years of experience in data science applied to financial services, proficient in Python, and experienced with LLMs and feature engineering. Zed fosters an inclusive environment where diverse perspectives enhance product development.

Qualifications

• 7+ years of experience in applied ML or data science focusing on credit risk or fraud.
• Experience deploying LLMs and transformer-based models in production.
• Strong skills in statistical analysis and model monitoring.

Responsibilities

• Work on full risk model suite: credit decisioning, management, and fraud detection.
• Design and deploy fraud detection models combining rule-based systems with ML.
• Influence technical direction by actively participating in decision-making.

Skills

Applied ML or data science

Hands-on experience with LLMs

Proficiency in Python and SQL

Feature engineering skills

Statistical knowledge

Tools

XGBoost

LightGBM

PyTorch

Job description

Zed, located in San Francisco, is seeking a Senior ML Data Scientist to work on innovative credit modeling using AI technology. This role involves responsibilities across credit decisioning, fraud detection, and machine learning model development.

The ideal candidate has over 7 years of experience in data science applied to financial services, proficient in Python, and experienced with LLMs and feature engineering. Zed fosters an inclusive environment where diverse perspectives enhance product development.