Senior Data Scientist, Risk and Support

Block

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$198,000–$297,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $160k
This role $248k
$82k most similar roles pay here $320k

This role pays more than 96% of similar roles. Most pay $126,800–$193,375 — the shaded band above. At the midpoint, this role pays about $248k versus about $160k 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 · Senior Data Scientist, Risk and Support

As a Senior Data Scientist, Risk and Support, you will join the Data Science team to transform unique customer and product data into actionable decisions for Cash App, Afterpay, Square, and upcoming operations automation. You will build and improve risk and support operations by defining metrics, evaluating experiments, and managing end-to-end execution across analysis, forecasting, and visualization. This agentic role requires using AI tools and agent workflows to accelerate exploration, automate tasks, and stress-test hypotheses. Key responsibilities include modeling contact demand, monitoring model performance for bias or drift, and designing policy changes to impact repayment outcomes. You must possess advanced SQL proficiency, strong statistical judgment, and the ability to communicate complex insights to stakeholders. The role focuses on solving critical risk management and support infrastructure challenges within a complex financial services ecosystem.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

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 automate repetitive tasks and accelerate analytical exploration.
  • Manage end-to-end execution for metrics definition, experimentation, forecasting, and data visualization.
  • Develop measurement frameworks for Support and Risk Operations, including demand forecasting and staffing models.
  • Evaluate model performance and policy changes to identify bias, drift, and business impact.
  • Design and analyze experiments to shape customer access, repayment outcomes, and product growth.
  • Establish technical standards and reusable tools to streamline data science workflows across the 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.
  • Strong product, analytical, and statistical judgment to turn ambiguous questions into sound analyses.
  • 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.

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