职位1
iOS Software Engineer, Payment Products
San Francisco, CA

Job ID: FL17720821
Summary
KEY RESPONSIBILITIES
  • Our team, Payment Products Mobile Squad, works with the sellers who need Square the most: small businesses who depend on us to ease the burden of their payment processing.
  • These sellers make up a substantial portion of Square's revenue, giving us a very powerful lever to contribute significantly to our overall performance as a company.

BASIC QUALIFICATIONS
  • Be proficient in Swift and/or Objective-C for development (we use both).
  • Enjoy working on mobile apps at all levels – from networking up to user interfaces and whatever’s in between.
  • Build high availability and highly resilient systems which can accept and report payments no matter the network or device conditions.
  • Collaborate with iOS, Android, and Server engineers to ship features.
  • Work with product managers and designers to refine and define product scope and design.
  • Respond to customer feedback to improve our products.
职位2
Data Science, Intern (Fall)
San Francisco, CA
Job ID: FL17720822
Summary
KEY RESPONSIBILITIES
  • Partner directly with the product team to have impact across the organization by applying descriptive and predictive analytics
  • 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 used where it is most impactful
BASIC QUALIFICATIONS

  • 4+ years of analytics and data science experience (inclusive of academic studies) or equivalent
  • Experience building relationships to influence product partners with data
  • Experience leading large projects across departments
  • 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)
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