- A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 7+ years of relevant experience; a master's degree with 5+ years; or a PhD with 3+ years.
- A track record of leading analytical solutions from problem definition through production use and adoption, including multi-person or cross-team efforts
- Advanced proficiency in SQL and Python, including experience working with large datasets and building maintainable analytical code, reusable modules, and automated data workflows
- Strong statistical and analytical judgment, including experience with cohort analysis, experimentation, time series, or monitoring, and the ability to recognize selection bias, incomplete data, and misleading metrics
- Experience translating business, policy, or control objectives into measurement frameworks that help stakeholders assess performance and take action
- Strong product instincts for internal tools, including the ability to understand stakeholder needs, prioritize by impact, and evaluate whether a solution improves how teams work and manage risk
- Excellent judgment in ambiguous situations, with the ability to make practical tradeoffs, build stakeholder alignment, and execute across teams
- Clear written and verbal communication, with the ability to explain complex analytical findings, uncertainty, and recommendations to technical and nontechnical audiences
- Experience in financial technology, risk, compliance, or product governance, or demonstrated ability to learn complex domains and apply rigorous measurement to them
- Experience using AI tools to accelerate analysis and development, validate conclusions, and automate repeatable analytical work
Technologies We Use and Teach
- Strong proficiency in Python and SQL. Comfort writing clean, organized, and testable code and contributing to software applications that implement data science and analytical artifacts in pipelines or front-ends.
- Solid understanding of probability and statistics, including A/B test design and evaluation, standard error calculations and statistical inference, and anomaly detection techniques and methods.
- Experience with Python visualization packages (e.g. matplotlib / plotly).
- Experience working with git or version control systems.
- Experience leveraging LLMs and engineering prompts to accelerate development or analyze non-quantitative data.
- Experience with data warehousing platforms (e.g., Snowflake, BigQuery).
While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A
$198,000—$297,000 USD
Zone B
$188,100—$282,100 USD
Zone C
$178,200—$267,400 USD
Zone D
$168,300—$252,500 USD
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.
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