Senior Data Scientist, SFS at Block

Role Overview

As a Senior Data Scientist on the SFS (Square Financial Services) team, you’ll focus on driving credit and lending product strategy by analysing large-scale data, building statistical and machine-learning models, designing experiments, and partnering with engineering and product teams to deploy and monitor those models in production.

Key Responsibilities

• Analyse large datasets using SQL and Python to generate insights that impact product and credit policy strategy.

• Approach problems from first principles and build statistical/ML models to support underwriting, credit decisioning, and performance measurement.

• Design and analyse A/B tests and apply causal inference/difference-in-difference techniques to evaluate product and policy changes.

• Partner with ML engineers throughout the modeling lifecycle—model development, deployment, evaluation/monitoring.

• Build visualization and reporting systems, define metrics, and present findings to cross-functional stakeholders.

Requirements & Qualifications

• Experience: Minimum of ~8 years of related experience with Bachelor’s; or ~6 years with a Master’s; or 3+ years with a PhD in a quantitative field.

• Technical skills: Advanced proficiency in SQL and Python; experience designing experiments at scale.

• Quantitative background: Statistics, Mathematics, Economics, or similar fields.

• Interest/experience: Strong interest in finance/credit products is helpful.