GoFundMe is looking to help others by shaping the future of how we understand and empower people through data and intelligent automation, and is hiring a People Analytics Data Scientist Intern to contribute to this effort.
Requirements
- Coursework or experience in statistics, regression analysis, machine learning, natural language processing or artificial intelligence
- Familiarity with Python, SQL and data visualization tools (Looker, Tableau or similar)
- Exposure to or curiosity about AI tools for analysis, automation, and communication (e.g., ChatGPT, Copilot, or Claude)
Responsibilities
- AI & Automation Project Work: Contribute to a pilot initiative that uses AI to automate people analytics workflows — such as survey analysis and sentiment analysis from open-text feedback.
- Data Pipeline Optimization: Help modernize how the team ingests, cleans, and integrates employee data across HR systems, surveys, and engagement platforms.
- Predictive and Prescriptive Analytics: Assist with modeling engagement, turnover, and workforce performance using regression, clustering, and NLP techniques.
- Dashboarding & Reporting: Build dashboards with automatically refreshing metrics to highlight people trends for HR partners and leaders.
- Generative AI Exploration: Experiment with AI tools (e.g., Copilot, ChatGPT, or Claude) to automate report generation, summarize insights, and create executive-ready narratives.
- Process Documentation: Develop “how-to” documentation and reusable scripts that streamline future analysis and automation initiatives.
Other
- Currently pursuing a Master’s Degree in Data Science, Industrial-Organizational Psychology, Computer Science, Business Analytics, or related field
- Strong analytical, problem-solving, and critical thinking skills with attention to data quality
- Clear written and verbal communication for simplifying complex analytics and presenting to non-technical stakeholders
- Ability to work onsite three days per week in San Francisco, CA
