Role Description
We’re seeking Statisticians with strong English writing skills to join our Deep Research for Forecasting project. In this role, you will review time-series plots (a quantity of interest over time) along with brief contextual descriptions, then identify the most meaningful patterns in the data and produce concise, well-reasoned causal chains explaining what likely drove those patterns. Your work will help create high-quality tasks used to train and evaluate AI systems on forecasting-related reasoning. You will focus on distinguishing signal from noise, articulating plausible mechanisms (root cause → intermediate drivers → observed time-series impact), and writing explanations that are clear, grounded, and useful for downstream model training.