Remote Staff Data Scientist - Credit & Lending ML

Neobankbeat; San Francisco, New York, Portland (CA, NY, OR); Hybrid; USD 167,000 - 299,000; Full time

Benefits offered by this job

Total rewards package

Equity options

Job summary

Mercury is building the future of financial infrastructure for startups and growing businesses. We’re hiring Senior/Staff Data Scientists to turn data into lending decisions and own the inference layer behind our small business lending program.

You will deploy models to production with observability, collaborate with Credit, Product, and Engineering, and set modeling standards across the team. Experience with time series, NLP, deep learning, and production Python is essential.

Qualifications

• 7+ years building ML models with production impact.
• Experience delivering models that influence decisions involving money on the line.
• Strong ability to translate business needs into technical solutions.

Responsibilities

• Build and own the inference layer for the lending program.
• Deploy models into production with monitoring and tests.
• Collaborate with Credit, Product, and Engineering on policy, pricing, and terms.
• Set modeling standards for the team.

Skills

ML modeling

Production Python

Time series

Forecasting

NLP models

Deep learning

SQL

Data warehousing

Education

Quantitative degree (math/CS/STAT)

Tools

Python

SQL

Airflow

PyTorch

Job description

Mercury is building the future of financial infrastructure for startups and growing businesses. We’re hiring Senior/Staff Data Scientists to turn data into lending decisions and own the inference layer behind our small business lending program.

You will deploy models to production with observability, collaborate with Credit, Product, and Engineering, and set modeling standards across the team. Experience with time series, NLP, deep learning, and production Python is essential.