Data Scientist, Point of Sale & Customers - Invoices
- Full-time
Company Description
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 decision-making in the full lifecycle 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 Invoices product team to apply 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 will be used where it is most impactful
Qualifications
You have:
- 6+ years of analytics and data science experience or equivalent
- Experience building relationships to influence product partners with data
- Experience leading 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
Perks
At Square, we want you to be well and thrive. Our global benefits package includes:
- Healthcare coverage
- Retirement Plans
- Employee Stock Purchase Program
- Wellness perks
- Paid parental leave
- Paid time off
- Learning and Development resources