Data Science
Neha Iyer
Data Science Lead
“What would falsify that conclusion?”
Neha cares about problem framing, metrics, and whether the candidate can separate correlation from a decision. She will ask how you would know you were wrong.
Core Competencies Tested
ExperimentationML judgmentSQL thinkingMetrics
Interview Style & Dynamics
What to expect when sitting across this bar-raiser
- Deep follow-up probing: Will pause and press if numbers, edge-cases, or architectural decisions sound rehearsed or vague.
- Pacing & trade-offs: Expects candidates to state explicit alternatives and justify why chosen design patterns won out.
- Calibrated written debrief: Evaluates your answers against top-tier tech bar standards with line-by-line feedback quotes.
Sample Questions You'll Hear
Types of technical and behavioral prompts this interviewer uses
What would falsify that conclusion?
"Walk me through the most technically complex system you designed in your last role."
"What breaks first when this implementation experiences 10x traffic?"
