Senior Data Scientist
Invoices
Updated on 5/12/2023
Locations
San Francisco, CA, USA • Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Marketing
SQL
Python
Looker
Requirements
- 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)
Responsibilities
- 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:
Desired Qualifications
- 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