Staff Data Scientist - Remote, Credit Analytics & Monitoring

Upstart

United States

Remote

USD 167,000 - 231,000

Full time

14 days+

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Benefits offered by this job

Annual wellness allowance
Equity grants
401(k) with company match

Job summary

Upstart is seeking a Staff Data Scientist to own monitoring and reporting of model and credit performance for Personal Loans. This role provides regular visibility to senior leadership and shapes data-driven decisions at the highest levels of the organization.

In addition to recurring reporting and performance tracking, you will investigate emerging trends, diagnose unexpected outcomes, and recommend actionable treatments.

Qualifications

  • Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related)
  • 6+ years of experience in analytics, data science, or a related quantitative field
  • Experience with Python and SQL
  • Strong analytical and first-principles thinking
  • Strong communication, presentation, and collaboration skills; ability to articulate complex analytical concepts to diverse audiences

Responsibilities

  • Own credit and performance monitoring for the Personal Loans product
  • Identify performance trends and deep-dive to understand root causes; recommend targeted treatments
  • Perform rigorous statistical analyses to evaluate past experiments and natural experiments
  • Build and maintain workflows that automate and scale standard reporting

Skills

Python
SQL
Analytical thinking
Communication

Education

Master’s degree in a quantitative field
PhD in a quantitative field

Tools

A/B testing
Causal inference

Job description

Upstart is seeking a Staff Data Scientist to own monitoring and reporting of model and credit performance for Personal Loans. This role provides regular visibility to senior leadership and shapes data-driven decisions at the highest levels of the organization.

In addition to recurring reporting and performance tracking, you will investigate emerging trends, diagnose unexpected outcomes, and recommend actionable treatments.

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