In this role, you will help turn data into decisions by combining strong technical execution with growing business awareness and communication skills. Working alongside more senior scientists and cross-functional partners, you will contribute to solving real business problems and learn how analytics connects to outcomes.
You’ll own well-defined components — a model, a feature pipeline, an analysis — while developing the ability to understand stakeholder needs, ask the right questions, and explain your work clearly so others can act on it. The problems will often arrive partially framed; your role is to execute rigorously while building the judgment to connect technical outputs to business value.
Explain your work clearly to technical and non-technical teammates. Communicate methods, results, and limitations so findings are understood, trusted, and usable in decision-making.
Build well-scoped models and analyses. Develop and validate models on defined problems such as feature engineering, model fitting, calibration, and validation with guidance on approach and standards.
Wrangle and prepare data. Access, transform, clean, and document large-scale data; identify and diagnose inconsistencies and gaps.
Contribute to production. Help deploy and monitor models alongside MLE and engineering, learning the discipline of keeping a live model healthy.
Run experiments others design. Execute designed experiments and analyses correctly and interpret the results.