Data Scientist, Square Appointments
- Full-time
Company Description
Job Description
The Appointments team at Square is focused on creating purpose-built tools for businesses that sell their time (think: hair stylists at salons, trainers at gyms, lawyers, contractors). On this team, we're building brand new products on top of Square's revolutionary payments platform to make the lives of these professionals easier and more productive, and the experience for their customers more modern and seamless.
As a member of the Square Appointments data team, you will use engineering, analytics, and machine learning to empower data-driven decisions in the full life cycle of product development and bringing our products to market. You will run experimentation and 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 make data decisions across the organization by applying descriptive and predictive analytics where it will have a material impact
- Design A/B experiments to evaluate the impact of changes we make to the product
- 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
- Work with engineers to log new, useful data sources as we build new product features
Qualifications
You have:
- 3+ years of analytics and data science experience or equivalent
- 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
- Fluency with data warehouse design practices, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
- M.S in a quantitative field (mathematics, statistics, or similar STEM field)
- Experience working on business and product projects 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