Company Overview
Every person carries within them the desire to make a difference—whether it’s helping a friend, uplifting a community, or driving change on a global scale. At GoFundMe, we believe these intentions should never go unnoticed. Instead, they should be amplified and shared with the world.
Our platform empowers individuals to transform compassion into action by providing the tools to tell their stories, connect with supporters, and make a tangible impact. With a thriving community of over 200 million donors, GoFundMe has helped organizers raise more than $15 billion for causes that matter—and we’re just getting started.
The Role
As a Lead Data Scientist, you will play a pivotal role in shaping data-driven strategies across the company. From gathering requirements to processing data, developing models, and delivering actionable recommendations, you will drive key projects that impact multiple departments.
What You’ll Do:
- Lead the design, analysis, and interpretation of complex data projects, transforming raw data into valuable insights.
- Serve as a technical leader, establishing best practices for tools, systems, and processes across the team.
- Develop and monitor key performance indicators (KPIs), identifying trends and presenting data-driven insights to leadership.
- Partner with cross-functional teams to uncover opportunities for leveraging advanced analytics and modeling techniques.
- Create dashboards and conduct ad hoc analysis to support decision-making.
- Build forecasting and ROI models, helping prioritize initiatives and optimize growth strategies.
- Collaborate with data and engineering teams to design scalable, future-proof data infrastructures.
- Perform light ETL tasks as needed to ensure seamless data accessibility.
What You Bring:
- 8+ years of experience leading data science and analytics projects.
- Master’s or PhD in a quantitative field (Mathematics, Physics, Economics, Engineering, or related).
- Proficiency in a wide range of statistical and machine learning methods, including experimentation and statistical inference.
- Advanced skills in SQL and Python for data segmentation, analysis, and manipulation.
- Strong ability to prioritize business requests, set clear expectations, and manage stakeholder needs.
- Exceptional presentation and communication skills, with the ability to translate insights into strategic recommendations.
- Experience mentoring junior data scientists/analysts is a plus.
- Knowledge of data tracking, database architecture, ETL tools, and APIs is a plus.
- Expertise in data visualization tools like Tableau or Looker is a plus.
Why You’ll Love It Here:
- Make an Impact – Contribute to a mission-driven organization that positively affects millions of lives annually.
- Innovative Environment – Work with a passionate and talented team in a fast-paced, forward-thinking atmosphere.
- Collaborative Culture – Be part of a supportive, fun, and high-performing team that celebrates success together.
- Competitive Benefits – Enjoy competitive pay, comprehensive healthcare, and financial assistance for hybrid work, family planning, and commuting.
- Work-Life Balance – Generous parental leave, flexible time-off policies, and mental health and wellness resources.
- Career Growth – Learning, development, and recognition programs to help you thrive.
- Commitment to DEI – Actively contribute to diversity, equity, and inclusion initiatives.
- Community Engagement – Give back through volunteering and Gives Back programs.