Staff Data Scientist, Lending ML — Equity + FinTech Impact

Mercury; New York (NY); On-site; USD 167,000 - 299,000; Full time

Job summary

Mercury is hiring a Senior/Staff Data Scientist to build the inference layer for our small business lending program. You will ship models into production with robust monitoring, partner with Credit and Product on underwriting policy and product shape, and set the technical bar for ML in Credit.

You should have 7+ years building ML models, with experience in time series, forecasting, anomaly detection, and NLP, and be proficient in Python and SQL within a data-warehouse environment.

Qualifications

• 7+ years building ML models.
• Implemented models that influence automated decisions involving money on the line.
• Proficient with Python in production environments.

Responsibilities

• Build and own the models behind the lending program (transaction classification, revenue estimation, forecasting with seasonality).
• Turn messy data streams (bank transactions, storefront sales) into a defensible view of business health.
• Deploy models into production with observability, monitoring, and tests.

Skills

ML modeling

Production-grade Python

Time series forecasting

Anomaly detection

NLP models

Deep learning

SQL

Model explainability

Modeling standards

Education

Quantitative degree

Tools

Python

SQL

Data warehouse

Cloud platforms

Job description

Mercury is hiring a Senior/Staff Data Scientist to build the inference layer for our small business lending program. You will ship models into production with robust monitoring, partner with Credit and Product on underwriting policy and product shape, and set the technical bar for ML in Credit.

You should have 7+ years building ML models, with experience in time series, forecasting, anomaly detection, and NLP, and be proficient in Python and SQL within a data-warehouse environment.