Staff Product Data Scientist, Lending

Block

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Seattle, WA
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 next-generation credit products. This role involves building measurement systems, evaluating experiments, and turning ambiguous product questions into clear decisions regarding customer behavior and risk. The candidate will manage end-to-end execution across analysis, forecasting, and visualization while partnering with engineering and risk teams to monitor model performance and identify bias or drift. Key responsibilities include mentoring junior staff and establishing technical standards for the team. Required skills include advanced SQL proficiency, experience building decision-oriented data visualizations, and using AI tools and agent workflows to accelerate analytical work. The role focuses on solving complex problems regarding customer eligibility, repayment behavior, and product growth 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 tools and standards 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 designing and analyzing experiments, rollouts, and policy changes for credit products.
  • Ability to communicate complex insights clearly to technical, product, and business stakeholders.
  • Experience mentoring junior data scientists and contributing to hiring through interviews and calibrations.

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