Lyft Business & Services Familiarity Questions
Familiarity with Lyft's business model, core products and services (ridesharing platform, mobility offerings, pricing strategy), partnerships, and market positioning as part of understanding the company's business and culture.
MediumTechnical
0 practiced
Design a one-page executive dashboard to monitor marketplace health during a city launch. List the top 6 visualizations/metrics to include, the rationale for each, and describe two drill-down interactions for operations teams to investigate anomalies quickly.
HardTechnical
0 practiced
As a senior data scientist, you're asked to prioritize multiple high-impact initiatives with limited engineering capacity. Describe your decision framework for roadmap prioritization, how you'd quantify trade-offs (short-term revenue vs long-term growth vs safety), stakeholder engagement strategy, and how to use experiments and pilots to de-risk investments.
EasyTechnical
0 practiced
Explain the dynamics of a two-sided marketplace like Lyft: define supply, demand, matching, price equilibrium, cross-side network effects and feedback loops between riders and drivers. Use the driver and rider interaction to illustrate how imbalance propagates and what a data scientist should monitor to detect instability.
EasyTechnical
0 practiced
List three core KPIs Lyft uses to evaluate marketplace health (choose from GMV, completed trips, active riders, active drivers, trips per driver, fill rate, cancellation rate) and for each provide a precise definition or formula, explain why it's important, and note any pitfalls when interpreting the metric.
HardTechnical
0 practiced
Propose a model to allocate a constrained incentives budget across many cities to maximize long-term driver retention and supply elasticity, accounting for diminishing returns, cross-city spillovers, seasonality, and uncertainty in response. Specify objective function, constraints, learning algorithm (e.g., contextual bandits or Bayesian optimization), and evaluation plan.
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