Staff Product Data Scientist, Lending

Block

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$239,600–$359,400 / yr
Posted
51 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $300k
$99k most similar roles pay here $387k

This role pays more than 99% of similar roles. Most pay $126,800–$226,800 — the shaded band above. At the midpoint, this role pays about $300k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 53 open roles on FindRole.

Listed pay typically runs $217,800–$326,800 across 52 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Staff Product Data Scientist, Lending

Careers - Staff Product Data Scientist, Lending joins the Data Science team at Block to power decisioning for Cash App Borrow, Afterpay, Square Loans, and future first-party credit products. This role involves building measurement systems, evaluating experiments, and turning complex product, customer, and risk data into actionable insights. The candidate will manage end-to-end execution including metrics definition, forecasting, and policy performance monitoring to improve access for customers often missed by traditional systems. Key responsibilities include mentoring junior staff, leading technical standards, and collaborating with engineering and risk teams. Required skills include advanced SQL proficiency, experience creating decision-oriented visualizations, and utilizing AI tools and agent workflows to accelerate the data science loop. The role requires strong statistical judgment to address ambiguous questions regarding repayment behavior, funnel health, and long-term customer outcomes within the lending domain.

What you'll do

  • Translate complex product, customer, and risk data into clear decision frameworks and measurement systems.
  • Use AI tools and agent workflows to accelerate analysis, automate tasks, and stress-test hypotheses.
  • Own end-to-end execution for metrics definition, experimentation, forecasting, and visualization.
  • Define and maintain measurement frameworks for credit products including eligibility, repayment behavior, and funnel health.
  • Partner with risk teams to evaluate model performance, monitor cohorts, and identify bias or drift.
  • Design and analyze experiments and policy changes to improve customer access and product growth.
  • Lead technical direction by creating reusable frameworks and scalable tooling for the data science team.
  • Mentor junior data scientists and contribute to hiring through interviews and calibrations.

What we're looking for

  • A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience.
  • A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience.
  • Advanced proficiency with SQL and experience building decision-oriented data visualizations.
  • Experience using AI tools and agent workflows to improve the speed and quality of analytical work.
  • Strong product, analytical, and statistical judgment to turn ambiguous questions into sound analyses.
  • Experience defining measurement frameworks for credit products including eligibility, repayment behavior, and loss performance.
  • Ability to design and analyze experiments, rollouts, and policy changes.
  • Experience mentoring junior data scientists and contributing to hiring through interviews and calibrations.

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