About the position
GoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best in class technology. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world. Join us! The GoFundMe 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.
Responsibilities
- Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations for various departments across the company
- Act as technical leader on the team - identify and disseminate best practices across team in terms of tools, systems, and processes
- Create and monitor KPIs and present emerging trends and actionable insights to leadership team
- Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
- Develop dashboards and perform ad hoc analysis when necessary
- Build forecasting and ROI models to project growth for various initiatives to assist with roadmap prioritization
- Collaborate with data and engineering teams to design scalable and future-proof instrumentation
- Perform light ETLs as needed for the role
Requirements
- 8+ years of experience building and leading data science and analytics projects
- Master's degree or PhD in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas) or equivalent experience in the field
- Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics including experimentation and statistical inference
- Advanced ability to perform data segmentation and manipulation directly using SQL and Python
- 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
Nice-to-haves
- Experience mentoring more junior data scientists/analysts
- Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs
- Data visualization skills and experience with BI tools (like Tableau/Looker)
Benefits
- Competitive pay and comprehensive healthcare benefits
- Financial assistance for things like hybrid work, family planning, and commuting
- Generous parental leave
- Flexible time-off policies
- Mental health and wellness resources to support overall well-being
- Learning, development, and recognition programs to help you thrive and grow
- Diversity, equity, and inclusion initiatives and employee resource groups
- Volunteering and Gives Back programs
