Summary

Job Description

We are looking for a Data Scientist to join our Risk Data  team. You'll build processes to root out high-risk activity across the Square platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements by using machine learning solutions or through analysis.

The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, machine learning engineers, policy and sales team to influence Square's  global Risk road map and processes. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQs debit card)  by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business. 

You Will

• Diagnose problems and develop compelling, data-driven recommendations
• Develop and maintain multiple data pipelines and ETLs
• Partner with Product, Engineering, Machine Learning Engineering, Policy and Operation teams to design solutions to
• business problems, influence product roadmaps, and develop new products/processes
• Have a chance to use machine learning tools to develop data-driven solutions.
• Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience
• Develop executive presentations for Squares leadership

Qualifications

BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field

• 5+ years of relevant experience (or masters degree with 3+ years of experience)
• Experience with SQL, Python and Looker
• Experience driving data-driven solutions and project-managing their implementation
• Experience answering unstructured questions and managing projects and tasks to a conclusion
• A passion for Square's mission
• Experience in risk, trust and safety, payments, or spam prevention

Additional Information

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 candidates 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.

Zone A: USD $142,000 - USD $213,000

Zone B: USD $134,900 - USD $202,300

Zone C: USD $127,800 - USD $191,600

Zone D: USD $120,700 - USD $181,100

To find a locations zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Full-time employee benefits include the following:

• Healthcare coverage (Medical, Vision and Dental insurance)
• Health Savings Account and Flexible Spending Account
• Retirement Plans including company match 
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance 
• Paid parental and caregiving leave
• Paid time off (including 12 paid holidays)
• Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) 
• Learning and Development resources
• Paid Life insurance, AD&D, and disability benefits 

Skills

• Python
• Risk Analysis
• SQL