Staff Product Data Scientist, Lending

Block

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
New York, NY
Salary
$239,600–$359,400 / yr
Posted
51 days ago
Freshness
Confirmed live yesterday

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 to power decisioning for Cash App Borrow, Afterpay, Square Loans, and future first-party credit products. This role focuses on building, measuring, and improving credit products for customers often missed by traditional systems. The successful candidate will turn complex product, customer, and risk data into durable measurement systems, define metrics for repayment behavior and funnel health, and partner with risk teams to evaluate model performance and policy changes. This agentic role requires using AI tools and agent workflows to accelerate analysis across the full data science loop. Key requirements include advanced proficiency in SQL, creating decision-oriented visualizations, and possessing strong statistical judgment. The candidate will also lead technical direction for the team, establish scalable tooling, and mentor junior data scientists while addressing ambiguous risk questions.

What you'll do

  • Translate complex product, customer, and risk data into clear decision frameworks and measurement systems.
  • Utilize AI tools and agent workflows to accelerate analysis and automate repetitive tasks.
  • 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 and identify bias or drift in data.
  • 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.
  • Proven ability to mentor junior data scientists and lead technical direction for the team.

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