Data Scientist, Point of Sale & Customers
- 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 drive strategic decisions with data.
You will:
Partner directly with the 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:
3+ 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)
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