Senior Data Scientist - Credit ML & Lending (Remote)

The Briefed

United States

Remote

USD 167,000 - 299,000

Full time

4 days ago
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Benefits offered by this job

Equity options
Remote-first
Professional growth budget
Health coverage

Job summary

The Briefed is seeking a Senior / Staff Data Scientist to design, build, and deploy the core inference layer behind Mercury's small business lending platform. You will own the full ML lifecycle—from revenue estimation, time-series forecasting, and anomaly detection to shipping production-grade Python models with full observability, monitoring, and automated test coverage.

Collaborate with Credit, Product, and Engineering to shape underwriting policies, pricing structures, and repayment

Qualifications

  • 7+ years of professional experience building, training, evaluating, and deploying production ML models.

Responsibilities

  • Architect, train, and own production ML models backing Mercury's lending operations.
  • Transform financial data streams into indicators of business creditworthiness.
  • Deploy ML models into production with automated testing and observability.
  • Define data ingestion policies and evaluate model uncertainty for underwriting.
  • Shape lending product parameters with Product Managers.
  • Set modeling guidelines and documentation standards across the team.

Skills

Production Python
Time series analysis
Forecasting
NLP
Deep learning (Transformers/LLMs)
SQL
Snowflake/BigQuery
Stakeholder communication
Quantitative foundations
MLOps/Production deployment

Education

Quantitative degree

Tools

MLflow
Docker

Job description

The Briefed is seeking a Senior / Staff Data Scientist to design, build, and deploy the core inference layer behind Mercury's small business lending platform. You will own the full ML lifecycle—from revenue estimation, time-series forecasting, and anomaly detection to shipping production-grade Python models with full observability, monitoring, and automated test coverage.

Collaborate with Credit, Product, and Engineering to shape underwriting policies, pricing structures, and repayment

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