COMPANY INFORMATION:
Classy, an affiliate of GoFundMe, is a Public Benefit Corporation and giving platform that enables nonprofits to connect supporters with the causes they care about. Classy’s platform provides powerful and intuitive fundraising tools to convert and retain donors. Since 2011, Classy has helped nonprofits mobilize and empower the world for good by helping them raise over $5 billion. Classy also hosts the Collaborative conference and the Classy Awards to spotlight the innovative work nonprofits are implementing around the globe.
JOB DESCRIPTION:
Join us! The Classy team is searching for our next Staff Data Scientist to bolster our product analytics efforts and elevate our data science operations across the organization. You will collaborate with an accomplished team of individuals to drive impact for our users and our business.
What you’ll accomplish:
Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for various departments across the company
Drive A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations.
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 – identify and disseminate best practices across team in terms of tools, systems, and processes
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
What you bring (Required):
7+ years of experience building data analytics and science projects
Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
Expertise in formulating and driving multivariate and A/B testing
Advanced experience using Python or R to perform statistical analysis, predictive analytics, and/or machine learning
Deep experience with SQL for writing scalable data transformations
Data visualization skills and experience with BI tools (Tableau/Looker)
Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting
Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers
Knowledge of event tracking, database architecture, Machine Learning is a plus
Master’s degree in a quantitative field is preferred (Mathematics, Physics, Economics, Engineering or related areas)
