Staff Product Data Scientist @Block
Data and Analytics
Salary usd 239,600 - 3..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2mths ago

[Hiring] Staff Product Data Scientist @Block

2mths ago - Block is hiring a remote Staff Product Data Scientist. 💸 Salary: usd 239,600 - 359,400 per year 📍Location: USA

Role Description

The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Lending team powers decisioning behind Cash App Borrow, Afterpay, Square Loans, and the next generation of first-party credit products.

We’re looking for a Product Data Scientist to help build, measure, and improve credit products that serve customers traditional credit systems often miss. You’ll partner closely with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and turn ambiguous product questions into clear decisions.

This is an agentic data science role. You’ll use AI tools and agent workflows to move faster and think more rigorously across the full data science loop:

  • Exploring messy datasets
  • Building pipelines
  • Stress-testing hypotheses
  • Evaluating product changes
  • Turning analysis into decisions

You Will:

  • Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners
  • Use AI tools and agent workflows to improve both the speed and quality of analytical work
  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
  • Define and maintain measurement frameworks for credit products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, and long-term customer 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
  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
  • Approach ambiguous product and risk questions from first principles
  • Communicate insights clearly to technical, product, and business stakeholders
  • Lead technical direction and standards for the Block Data Science team
  • Drive localized cross-team impact by connecting measurement and insights across Lending products
  • Mentor and grow the team by developing junior data scientists

Qualifications

  • A bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and experience building clear, decision-oriented data visualizations
  • Strong product, analytical, and statistical judgment
  • Experience using AI tools to improve the speed, quality, and durability of analytical work

Requirements

  • Ability to turn ambiguous product, customer, or risk questions into sound analyses
  • Communicate tradeoffs clearly and support decisions

Benefits

  • Remote work
  • Medical insurance
  • Flexible time off
  • Retirement savings plans
  • Modern family planning
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Staff Product Data Scientist @Block
Data and Analytics
Salary usd 239,600 - 3..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted 2mths ago
Apply for this position
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Unlock 125,000+ Remote Jobs
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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