Block

2 days ago

Staff Product Data Scientist, Lending

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and improve credit products for Cash App Borrow, Afterpay, Square Loans, and upcoming first-party credit offerings. Turn complex customer, product, and risk data into decision frameworks and measurement systems, partnering with product, engineering, and risk to define metrics, run experiments, forecast outcomes, and support rollouts. Use agentic AI workflows to accelerate analysis end-to-end while leading technical standards and mentoring data scientists.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Turn complex product, customer, and risk data into insights, decision frameworks, and durable measurement systems.
•Own end-to-end execution across metrics definition, experimentation, forecasting, visualization, and decision support.
•Define and maintain measurement frameworks for credit products, including eligibility, repayment behavior, usage, loss performance, funnel health, and long-term outcomes.
•Partner with risk teams to evaluate model/policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to business impact.
•Lead technical direction and standards for the Data Science team and mentor junior data scientists.

Pay and Benefits

Salary: USD 239,600 - 359,400 annually

Perks:Health InsuranceRemote WorkFlexible TimeRetirement SavingsFamily Planning

Key Requirements

•Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years’ experience, or a graduate degree with 6–8+ years’ experience in a relevant role.
•Advanced proficiency with SQL and experience building decision-oriented data visualizations.
•Strong product, analytical, and statistical judgment to turn ambiguous product/customer/risk questions into sound analyses and clear tradeoffs.
•Experience using AI tools to improve the speed, quality, and durability of analytical work.
•Ability to communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers.

Experience:12+ yearsFintechFinancial servicesCreditLending

Skills:Analytical rigorStatistical judgmentCommunicationMentoringCollaboration

Languages:English

Tech Stack:SQLAI toolsAgent workflows

Company Brief

Block

Builds financial services and commerce tools to empower businesses and individuals, operating products such as Square, Cash App, Spiral (Bitcoin initiatives), TIDAL, and developer-focused payment and banking solutions.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn

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Block

2 days ago

Staff Product Data Scientist, Lending

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Turn complex product, customer, and risk data into insights, decision frameworks, and durable measurement systems.
•Own end-to-end execution across metrics definition, experimentation, forecasting, visualization, and decision support.
•Define and maintain measurement frameworks for credit products, including eligibility, repayment behavior, usage, loss performance, funnel health, and long-term outcomes.
•Partner with risk teams to evaluate model/policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to business impact.
•Lead technical direction and standards for the Data Science team and mentor junior data scientists.

Pay and Benefits

Salary: USD 239,600 - 359,400 annually

Perks:Health InsuranceRemote WorkFlexible TimeRetirement SavingsFamily Planning

Key Requirements

•Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years’ experience, or a graduate degree with 6–8+ years’ experience in a relevant role.
•Advanced proficiency with SQL and experience building decision-oriented data visualizations.
•Strong product, analytical, and statistical judgment to turn ambiguous product/customer/risk questions into sound analyses and clear tradeoffs.
•Experience using AI tools to improve the speed, quality, and durability of analytical work.
•Ability to communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers.

Experience:12+ yearsFintechFinancial servicesCreditLending

Skills:Analytical rigorStatistical judgmentCommunicationMentoringCollaboration

Languages:English

Tech Stack:SQLAI toolsAgent workflows

Company Brief

Block

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn