Gusto interview questions

Showing 1–15 of 15 results

• Build Churn Prediction and Survival ModelsMedium

  This problem tests the ability to design an end-to-end churn prediction pipeline, specifically focusing on the distinction between binary classification and survival analysis in the context of customer retention.

  GustoData ScientistMachine LearningTechnical Screen
• Build a Churn Prediction ModelMedium

  This question tests the ability to design an end-to-end churn prediction pipeline, focusing on temporal data integrity, class imbalance, and actionable evaluation metrics for business stakeholders.

  GustoData ScientistMachine LearningOnsite
• Calculate Net Pay Change for Q1 2023 DecreasesMedium

  This question evaluates a candidate's data-manipulation competency in SQL and Python, focusing on computing net pay, aggregating over a calendar quarter, and measuring percentage change between recent pay periods.

  GustoData ScientistData Manipulation (SQL/Python)Technical Screen
• Compute Parking Clustering Probability and P-ValueMedium

  This question tests your ability to calculate exact combinatorial probabilities under a null hypothesis and define a p-value for a spatial clustering test.

  GustoData ScientistStatistics & MathTechnical Screen
• Compute p-values for 2 variants vs controlEasy

  This question evaluates a candidate's competence in statistical hypothesis testing and experiment analysis, focusing on A/B/n comparison of conversion rates, p-value computation, confidence interval estimation for lift, multiple-testing considerations, and interpretation of results.

  GustoData ScientistAnalytics & ExperimentationTechnical Screen
• Define Churn and Design Onboarding ExperimentMedium

  This question tests the ability to define business-relevant churn metrics for a SaaS platform and design a controlled experiment to optimize user onboarding.

  GustoData ScientistAnalytics & ExperimentationOnsite
• Demonstrate Customer-Centric Judgment About AIMedium

  Evaluates how an engineer makes grounded, customer-first decisions when designing or deploying AI features, balancing user risks, technical feasibility, and business impact.

  GustoSoftware EngineerBehavioral & LeadershipOnsite
• Describe Your Analytical Experience and Cross-Functional Collaboration.Medium

  This interview question evaluates behavioral evidence, ownership, communication, trade-offs, and measurable outcomes in a realistic interview setting. A strong answer for Describe Your Analytical Experience and Cross-Functional Collaboration. states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  GustoData ScientistBehavioral & LeadershipTechnical Screen
• Design an Extensible Tax Policy EngineMedium

  Design a modular, versioned tax policy engine that evaluates payroll taxes across different tax years and filing statuses using progressive and flat-rate strategies with deterministic precision.

  GustoSoftware EngineerSoftware Engineering FundamentalsOnsite
• Design restaurant shift schedulingMedium

  This problem tests your ability to design a scalable scheduling system, specifically focusing on data modeling for temporal availability, handling conflicting shift assignments, and API design for concurrent updates.

  GustoSoftware EngineerSystem DesignTechnical Screen
• Fairly Distribute Money With LimitsMedium

  This problem tests your ability to implement a greedy allocation algorithm while respecting individual upper bounds and handling iterative redistribution of remaining resources.

  GustoSoftware EngineerCoding & AlgorithmsTechnical Screen
• How do you test two variants vs control?Medium

  This question evaluates proficiency in A/B/n experimentation, hypothesis testing for binomial proportions, multiple-comparison correction methods, confidence interval estimation for conversion uplift, and experiment-related decision-making in the Analytics & Experimentation domain at an applied/intermediate statistical-analysis level.

  GustoData ScientistAnalytics & ExperimentationTechnical Screen
• Identify Growth Opportunities for New Payroll Feature LaunchMedium

  This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Identify Growth Opportunities for New Payroll Feature Launch states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  GustoData ScientistAnalytics & ExperimentationTechnical Screen
• Implement a timestamped mapMedium

  This problem tests your ability to design a time-indexed key-value store that supports efficient lookups of historical values using binary search.

  GustoSoftware EngineerCoding & AlgorithmsTechnical Screen
• Investigate Causes of Increased Payroll Processing TimeMedium

  This interview question evaluates metric design, causal reasoning, experiment setup, diagnostics, SQL/statistical checks, and recommendations in a realistic interview setting. A strong answer for Investigate Causes of Increased Payroll Processing Time states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.

  GustoData ScientistAnalytics & ExperimentationTechnical Screen