• In-depth analysis of actions/supporter engagement on platforms • Building models to predict future scenarios • Creating dashboards and visualizations to present complex findings • Assisting in various other tasks as they arise

• Help turn complex data into actionable insights focused on supporter engagement, fundraising, impact measurement • Conduct in-depth analysis of actions/supporter engagement • Build predictive models linked to growth, engagement, income generation • Create dashboards and visualizations to present findings to non-technical stakeholders

• Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership • Develop and own success metrics for generative music features and systems • Design and analyze A/B tests and causal studies to evaluate product and model impact • Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists • Build scalable dashboards to monitor feature health and ecosystem impact • Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality • Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements • Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows • Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions

• Support the development and evolution of marketing intelligence products • Contribute to core systems that help businesses understand marketing effectiveness • Operate across the full lifecycle—from researching to productionizing models • Collaborate closely with the Head of Insights, Product, Engineering and Design • Build, improve, and maintain production-grade data science models • Enhance the accuracy and robustness of existing MMM pipelines • Design and implement optimization algorithms • Analyze customer measurement data to surface insights • Explain statistical concepts and troubleshoot measurement issues • Provide technical expertise and guidance to stakeholders