This question evaluates stakeholder alignment, risk management, product-ranking trade-offs, regulatory and compliance awareness, metric definition, and communication and negotiation skills relevant to delivering an MVP while planning a future ML iteration.
You are a data scientist asked by a PM to "rank products on the home page." Requirements are vague and timelines are short. The products have eligibility constraints and the company operates in a regulated environment. You need to align stakeholders quickly, minimize risk, and ship an MVP while planning for a V2 that may include machine learning.
Specify the following:
Login required