Behavioral & Leadership Technical Screen Prompt (Data Scientist)

Provide two stories—one professional and one personal—that demonstrate you’re a strong fit for a Data Scientist role. Use the structure below.

A) Two Stories (Professional and Personal)

For each story include:

1. Context

• Your role/title
• Team size and structure (functions and seniority, if relevant)
• Dates/length of project
• Key stakeholders
• The business goal explicitly tied to a typical Data Scientist job scope (e.g., growth/retention, experimentation, metrics/analytics, safety/quality, monetization)

2. Actions

• Three decisions you personally owned (what you chose and why)
• One controversial trade-off you made (what you gained vs. gave up, risk management)
• One mistake you made, how you detected it, how you corrected it, and what you changed to prevent recurrence

3. Results

• Quantify impact using at least two metrics (show baseline vs. after)
• Include a counterfactual (e.g., A/A, synthetic control, seasonality benchmark, DiD) to isolate causality

B) Motivation

• What specifically prompted you to explore new opportunities now?
• Separate push (away from current situation) vs. pull (toward this role/company) factors
• Rank the factors by importance
• List any non‑negotiables

C) End‑to‑End Project Walkthrough

• Pick one past project and walk through: problem framing, hypothesis, data sources/quality, methodology (analytics/modeling/experimentation), decisions, risks/guardrails, results, and what you would do differently

D) Team Topology and Collaboration

• Describe the team configuration where you were most effective (roles, seniority mix, rituals)
• How you handled unclear responsibilities, decision rights, or conflict

E) First 90 Days Mapping

• How your experiences inform a concrete 30/60/90‑day plan for impact in this role