Job opportunity
Senior Credit Machine Learning Scientist
Mercury
Build lending models at Mercury using Python, SQL, and proprietary business data to inform small business credit decisions. Production deployment and monitoring are central.
As a Senior or Staff Data Scientist, you will own the inference layer for Mercury’s small business lending program. You will work with Credit, Product, and Engineering across transaction classification, forecasting, and uncertainty. The work turns bank transactions, storefront sales, and financial reporting into defensible views of business health.
Key Responsibilities:
Build transaction classification and recurring cash-flow detection models
Estimate annual revenue and forecast seasonal business performance
Deploy production models with observability, monitoring, and tests
Partner with Credit on underwriting policy and uncertainty
Set technical standards for machine learning in Credit
Requirements:
Three or more years building machine learning models
At least one year in lending or credit algorithms
Strong Python, production-grade services, and SQL experience
Experience working comfortably in a data warehouse
Ability to explain models across credit, product, and engineering
Apply credit modeling, Python, SQL, and production machine learning expertise to Mercury’s small business lending infrastructure.
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Apply on source site As a Senior or Staff Data Scientist, you will own the inference layer for Mercury’s small business lending program. You will work with Credit, Product, and Engineering across transaction classification, forecasting, and uncertainty. The work turns bank transactions, storefront sales, and financial reporting into defensible views of business health.
Key Responsibilities:
Build transaction classification and recurring cash-flow detection models
Estimate annual revenue and forecast seasonal business performance
Deploy production models with observability, monitoring, and tests
Partner with Credit on underwriting policy and uncertainty
Set technical standards for machine learning in Credit
Requirements:
Three or more years building machine learning models
At least one year in lending or credit algorithms
Strong Python, production-grade services, and SQL experience
Experience working comfortably in a data warehouse
Ability to explain models across credit, product, and engineering
Apply credit modeling, Python, SQL, and production machine learning expertise to Mercury’s small business lending infrastructure.
#J-18808-Ljbffr