# Walk me through a past data science project

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Source: https://www.aced.io/questions/4796/describe-data-science-project
Source observed: 2026-11-04T23:34:35.327Z
Last checked: 2026-11-04T23:34:35.327+00:00
Indexed: 2026-11-06T15:57:18.885+00:00

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# Walk me through a past data science project

We provide interview-preparation questions, interview experiences, courses, and AI practice through Aced, formerly Exponent. This behavioral interview question is associated with Data Scientist and Technical Program Manager roles, Apple and OpenAI, and the Behavioral category.

## Question details

- **Interview count:** 3 interviews
- **Reported last asked:** 10 months ago
- **Roles:** [Data Scientist](https://www.aced.io/questions?role=data-science) (2); [Technical Program Manager](https://www.aced.io/questions?role=tpm)
- **Companies:** [Apple](https://www.aced.io/questions?company=apple); [OpenAI](https://www.aced.io/questions?company=openai)
- **Category:** [Behavioral](https://www.aced.io/questions?type=behavioral)

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## Interview experiences

We have two shared interview experiences connected to this question.

### Apple — Technical Program Manager, Mid Level / L4

[Read the Apple interview experience](https://www.aced.io/experiences/apple-technical-program-manager-interview-c836f6)

A candidate said a sourcer had contacted them on LinkedIn repeatedly, so they did not complete a standard recruiter screen. After the resume was sent, two hiring managers in the same Siri AI/ML organization wanted to speak with the candidate. Apple combined the process for two EPM roles rather than running two separate loops.

The process included two hiring-manager screens, a joint onsite with a data science manager and an ML engineering manager, another behavioral round with one hiring manager, and a final conversation with a very senior engineering leader. The candidate described the process as highly team-dependent and niche, particularly because of its ML-metrics focus. They finished in early December and were rejected.

### OpenAI — Senior Data Scientist, Senior / L5

[Read the OpenAI interview experience](https://www.aced.io/experiences/openai-senior-data-scientist-interview-a6cee9)

A candidate said they were contacted on LinkedIn and completed the full process for a Senior Data Scientist role in San Francisco, targeting approximately L5. The process included a recruiter screen, a **48-hour take-home data challenge**, a one-hour technical review of that challenge with AI-code debugging, a hiring-manager screen about a past project, and a four-interview final panel.

The candidate described the process as similar to a strong big-tech data-science process, while noting that interviewers assumed comfort with AI tools and reading machine-generated code. Interviewers repeatedly asked versions of “why OpenAI”; safety and ethics mainly appeared later with product-management and leadership interviewers. The candidate completed the process but did not receive an offer.

## Community answers

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## Related questions

- [Walk me through a DCF.](https://www.aced.io/questions/6866/explain-dcf-valuation-method)
- [Tell me about a data science project that you have worked on.](https://www.aced.io/questions/260/data-science-project)
- [Walk me through your favorite and least favorite projects from past work.](https://www.aced.io/questions/6463/favorite-vs-least-favorite-projects)

## Related courses

### [Data Science Interview Prep](https://www.aced.io/courses/data-science)

![Data Science Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/3U4C5C0OkDR0UeGch4AmlE/7ad489430b676a088cb973307fe77884/Data_Science_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75)

We help candidates prepare for data-science roles at Google, Amazon, Microsoft, Meta, Apple, and other companies through mock interviews, frameworks, and advice from senior candidates. The course covers statistics, experimentation, coding, SQL, machine learning, behavioral interviews, and more.

### [SQL Interviews](https://www.aced.io/courses/sql-interviews)

![SQL Interviews](https://images.ctfassets.net/x78yjrjc11pq/62mN54S54HpLIOmyG8qbnq/54deaf5e397d0807d71c0e27e21e5ee3/sql_illustration_2.jpg?w=800&h=800&fm=webp&q=75)

We help candidates prepare for SQL interviews by practicing syntax basics, aggregations, and window functions, as well as manipulating data, writing complex queries, and analyzing information from diverse datasets.

## Practice with AI

Use [Practice with AI](https://www.aced.io/practice/ai/new?type=Behavioral&question=describe-data-science-project&src=questions) to practice this behavioral question. Submitting an answer marks the question complete.

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