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 Point of Sale & Customers team, you will use engineering, analytics, and machine learning to empower data-driven results in the full life cycle of product development and bringing our products to market. While reporting to the head of data, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and guide strategic decisions with data.

YOU WILL:

• Partner directly with the product team to have impact across the organization by applying descriptive and predictive analytics
• 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 used where it is most impactful

Qualifications

YOU HAVE:

• 4+ years of analytics and data science experience (inclusive of academic studies) or equivalent
• Experience building relationships to influence product partners with data
• Experience leading large projects across departments
• 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:

• MS or other advanced degree in a quantitative field (mathematics, statistics, or similar STEM field)
• Experience working on business and product plans focused on growth and retention
• Familiarity with Marketing analytics and experimentation

Additional Information

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.