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

Use agentic data science to build, measure, and improve credit products on Cash App Borrow, Afterpay, Square Loans, and future first-party offerings. Partner with product, engineering, and risk teams to define decision metrics, design and analyze experiments, and maintain measurement frameworks for eligibility, repayment, loss performance, funnel health, and long-term outcomes. Lead technical standards, automate analytical workflows, and translate insights into actionable product and risk decisions.

Location: Seattle

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 for product, risk, and business partners.
•Use AI tools and agent workflows to accelerate exploration, automate repetitive tasks, generate hypotheses, and stress-test conclusions.
•Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support.
•Define and maintain credit measurement frameworks including eligibility, repayment behavior, product usage, loss performance, funnel health, and long-term outcomes.
•Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact.

Pay and Benefits

Salary: USD 239,600 - 359,400 annually

Perks:Remote WorkHealth InsuranceFlexible TimeRetirement SavingsFamily Planning

Key Requirements

•Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of relevant experience, or a graduate degree with 6–8+ years.
•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 support decisions.
•Experience using AI tools to improve the speed, quality, and durability of analytical work.
•Ability to communicate tradeoffs clearly and partner effectively with technical, product, and business stakeholders.

Education:Bachelor's

Languages:English

Tech Stack:SQLAIAgent 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: Seattle

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 for product, risk, and business partners.
•Use AI tools and agent workflows to accelerate exploration, automate repetitive tasks, generate hypotheses, and stress-test conclusions.
•Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support.
•Define and maintain credit measurement frameworks including eligibility, repayment behavior, product usage, loss performance, funnel health, and long-term outcomes.
•Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact.

Pay and Benefits

Salary: USD 239,600 - 359,400 annually

Perks:Remote WorkHealth InsuranceFlexible TimeRetirement SavingsFamily Planning

Key Requirements

•Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of relevant experience, or a graduate degree with 6–8+ years.
•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 support decisions.
•Experience using AI tools to improve the speed, quality, and durability of analytical work.
•Ability to communicate tradeoffs clearly and partner effectively with technical, product, and business stakeholders.

Education:Bachelor's

Languages:English

Tech Stack:SQLAIAgent 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