Staff Data Scientist
Updated on 2/23/2024
GoFundMe

501-1,000 employees

Online fundraising platform for personal and community causes.
Company Overview
GoFundMe stands out as a leading platform in the crowdfunding sector, having successfully facilitated the raising of over $15 billion for various causes, demonstrating its significant impact and industry leadership. The company's culture is deeply rooted in compassion and action, providing employees with a meaningful work environment. With a management team comprising leaders from top tech companies and robust backing from renowned venture capital firms, GoFundMe offers a competitive edge and a strong foundation for growth and innovation.
Social Impact

Company Stage

N/A

Total Funding

$1.2B

Founded

2010

Headquarters

Redwood City, California

Growth & Insights
Headcount

6 month growth

6%

1 year growth

19%

2 year growth

15%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
SQL
Tableau
Looker
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • 7+ years of experience building data analytics and science projects
  • Expertise in statistical and machine learning methods
  • Advanced experience using Python or R for statistical analysis and machine learning
  • Deep experience with SQL for writing scalable data transformations
  • Data visualization skills and experience with BI tools (Tableau/Looker)
  • Strong presentation skills and ability to influence decision makers
  • Master's degree in a quantitative field is preferred
Responsibilities
  • Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations
  • Drive A/B testing through the entire experimentation life cycle
  • Develop dashboards and perform ad hoc analysis
  • Collaborate with product leadership to develop and monitor KPIs and present emerging trends and actionable insights
  • Act as technical leader on the team and disseminate best practices
  • Partner cross-functionally to identify new analytical opportunities
  • Collaborate with data and engineering teams to design scalable and future-proof instrumentation
  • Contribute to ELT processes as needed
Desired Qualifications
  • Knowledge of event tracking, database architecture, Machine Learning