Present a DS project with business impact

Q: Present a DS project with business impact

This question evaluates presentation and leadership competencies in data science—specifically the ability to communicate analytical approach, quantify business impact, explain assumptions and validation, and justify trade-offs to a mixed technical audience.

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Question

7-Minute Data Science Project Presentation (Onsite)

Context

You are interviewing for a Data Scientist role and will present a past project to a mixed audience of a Product Manager, Software Engineer, and Data Scientist. The goal is to demonstrate business impact, analytical rigor, and communication clarity.

Task

Prepare and deliver a 7-minute presentation (plus a 60-second roadmap) covering:

Business problem, decision at stake, and north-star metric.
Data sources, key assumptions, and their risks.
Modeling/analysis approach and why alternatives were rejected.
Results with confidence intervals and sensitivity checks.
Shipped impact vs. projected impact and how you validated it post-launch.
Two failures or trade-offs you consciously accepted.

Conclude with a 60-second roadmap for the next iteration.

Constraints

Audience is mixed; avoid jargon or explain it.
5–6 slides maximum; keep within 7 minutes + 60 seconds.
Use real experiences; omit proprietary details.
Be explicit about metrics, decision-making, and validation.

Present a DS project with business impact

7-Minute Data Science Project Presentation (Onsite)

Context

Task

Constraints

Solution

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Present a DS project with business impact

Overview

7-Minute Data Science Project Presentation (Onsite)

Context

Task

Constraints

Solution

Comments (0)