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Data Scientist
Square Staff, Payroll
Confirmed live in the last 24 hours
Locations
Remote in USA • Arlington, VA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Research
SQL
Python
Looker
Requirements
  • 3+ years of analytics and data science experience or equivalent
  • B.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)
  • Experience building relationships to influence product partners with data
  • Experience participating in 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)
  • Fluency with general coding and scripting skills
Responsibilities
  • Work 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
  • Lead, coordinate, and execute on 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 analytics so your expertise can be leveraged where it is most impactful
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.