Note: The job is a remote job and is open to candidates in USA. Block builds technology and financial services products through brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto. The Senior Data Scientist will build, measure, and improve Risk and Support Operations by analyzing customer and risk data, defining metrics, evaluating experiments, using AI-enabled workflows, and guiding decisions across product, engineering, risk, and business teams.
Responsibilities
- 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, from accelerating exploration and automating repetitive tasks to generating hypotheses and stress-testing conclusions
- Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
- Define and maintain measurement frameworks for Support and Risk Operations, including contact demand forecasting, Staffing modeling, queue health and optimization
- 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 Risk and Support questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria
- Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers
- Lead technical direction and standards for the Block Data Science team - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others
- Drive localized cross-team impact by connecting measurement and insights across Support and Risk Operations and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy
- Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations
Skills
- 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, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions
- Experience using AI tools to improve the speed, quality, and durability of analytical work
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
Company Overview
Company H1B Sponsorship