Summary

As a member of Block's Reliability Data Science team, you will leverage observability events and other product datasets to detect, diagnose, monitor, and measure reliability issues across our Square and Cash App tech stacks. We give engineering and product teams the tools and insights they need to ensure product reliability as we release new versions of our hardware, firmware, operating systems, and apps.

You Will

1. Develop and maintain datasets and tools that expand/automate our monitoring and alerting capabilities for reliability issues across Square and Cash tech stacks.
2. Develop KPIs and measurement systems focused on product reliability.
3. Partner with Engineering to leverage observability event data to triage and diagnose reliability issues.
4. Partner with Engineering to design and develop new logging/events for reliability monitoring.
5. Measure the impact of reliability issues on the business.

You Have

1. 8+ years of data experience
2. Fluency with SQL and Python
3. Experience using AI tools to accelerate development and enhance solutions
4. Experience working with dashboarding tools
5. Experience with ETLs and data engineering
6. Experience designing KPIs and measurement systems
7. Familiarity with standard machine learning concepts and statistics concepts
8. Familiarity with cloud engineering and cloud infrastructure
9. Experience leading cross-functional projects
10. Experience working with technical and non-technical partners, including Engineering, Product, and Business teams

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

Skills

• Database Management
• Development
• Leadership
• Machine Learning
• Python
• Software Engineering
• SQL