Data Scientist

What you'll do

• Frame ambiguous business questions as clear analytical problems with measurable outcomes.
• Design metrics, dashboards, and decision frameworks to evaluate performance and identify opportunities.
• Design and analyze experiments using causal inference and other rigorous statistical methods.
• Use forecasting and quantitative methods to evaluate business opportunities and inform high-stakes decisions.
• Own the full data lifecycle from discovery and validation through analysis to impact measurement.
• Partner with cross-functional leaders to shape product roadmaps and translate insights into action.
• Communicate findings, uncertainties, and recommendations clearly to both technical and non-technical audiences.

What we're looking for

• Experience as a data scientist, product analyst, applied scientist, economist, or in a similar quantitative role.
• Deep statistical reasoning including experimental design, hypothesis testing, and causal inference.
• Strong SQL and Python skills with experience working with large, complex, real-world datasets.
• Familiarity with production data pipelines, distributed computing, and modern analytics tooling.
• Deep expertise in one or more areas such as experimentation, causal inference, statistical analysis, forecasting, or optimization.
• Demonstrated ability to structure open-ended problems and maintain a high bar for data quality and validation.
• Track record of translating rigorous analysis into clear recommendations and measurable business or customer impact.
• Strong communication and collaboration skills to influence partners across functions and levels of technical depth.