Data Scientist, Invoices

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. 

You will:

• Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impact
• Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights
• Coordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data science
• Communicate analysis and decisions to high-level partners and executives in verbal, visual, and written media
• Lead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at Square
• Develop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful

Qualifications

You have:

• 4+ years of analytics and data science experience or equivalent
• Experience building relationships to influence product partners with data
• Experience leading cross-functional projects that depend on the contributions of others in multiple disciplines
• Experience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
• Familiarity with data warehouse design and best practices
• Fluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)

Nice to have: 

• M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)
• Experience working on business and product initiatives focused on growth and retention
• Familiarity with Marketing analytics and experimentation

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 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.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100

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. 

Benefits include the following:

• Healthcare coverage
• 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
• Learning and Development resources
• Paid Life insurance, AD&D. and disability benefits 
• Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any tim