Senior Data Scientist
Invoices
Posted on 3/23/2023
INACTIVE
Square

1,001-5,000 employees

Digital payment processor
Company Overview
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.
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
CategoriesNew
Business & Strategy
Data & Analytics
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