Data Scientist, Causal ML for Credit Underwriting - NYC

Nelo; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Significant equity

Medical, dental & vision insurance

Unlimited PTO

401(k)

Extended maternity and paternity leave

Relocation support

Sabbatical program

Job summary

A consumer fintech and e-commerce platform is seeking an experienced Data Scientist who will design and deploy causal inference models to enhance underwriting strategies. The ideal candidate has a PhD and at least 5 years of practical experience in Python and SQL. Responsibilities include developing algorithms for credit pricing and leading machine learning infrastructure projects. This in-office position in NYC offers significant equity, comprehensive insurance coverage, and unlimited PTO.

Qualifications

• Strong academic background in statistics and machine learning.
• At least 5 years of experience in a production environment.
• Ability to design causal inference models.

Responsibilities

• Design and deploy causal inference models for underwriting.
• Create algorithms for credit pricing and personalization.
• Lead ML infrastructure projects for model deployment.

Skills

Statistical theory

Causal inference

Python

SQL

Machine learning

Education

PhD in a relevant field

Tools

Jupyter

Job description

A consumer fintech and e-commerce platform is seeking an experienced Data Scientist who will design and deploy causal inference models to enhance underwriting strategies. The ideal candidate has a PhD and at least 5 years of practical experience in Python and SQL. Responsibilities include developing algorithms for credit pricing and leading machine learning infrastructure projects. This in-office position in NYC offers significant equity, comprehensive insurance coverage, and unlimited PTO.