Senior Data Scientist
Support
Updated on 3/26/2024
Square

10,001+ 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.
Consulting
Energy
Social Impact
Financial Services
Consumer Goods

Company Stage

N/A

Total Funding

$601.2M

Founded

2009

Headquarters

Oakland, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

14%

2 year growth

17%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
R
SQL
Tableau
Looker
Data Analysis
CategoriesNew
Data Engineering
Data Science
Data Analysis
Data & Analytics
Requirements
  • Bachelor degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
  • OR
  • Graduate degree in statistics, data science, or similar STEM field with 2+ years of experience in a relevant role
  • Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc)
  • Experience with scripting and data analysis programming languages, such as Python or R
  • Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
  • Experience in a high-growth tech environment
Responsibilities
  • Partner directly with a Cash App customer support team, working closely with operations, engineers, and machine learning
  • Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the operations team and other key stakeholders
  • Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand advocate and customer behavior
  • Design and analyze A/B experiments to evaluate the impact of changes we make to our operational processes and tools
  • Work with engineers to log new, useful data sources as we evolve processes, tooling, and features
  • Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
  • Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
  • Build and share data visualizations and self-serve dashboards for your partners
  • Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis