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Instacart Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 34 interview experiences · FREE TO READ

3 Rounds average
Average Typical difficulty
35.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Instacart.

Showing 3 of 34
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Data Scientist Intern

Analytics · half a year ago

Intern Average Negative experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding

I had a 45-minute technical interview focused on statistics and SQL, with questions tailored to Instacart scenarios. The SQL part wasn't about writing code from scratch, but more about spotting mistakes in existing SQL queries. It seems like companies are shifting their interview strategies, perhaps because LLMs can generate code so well now, and the focus is moving towards evaluating the ability to identify flawed LLM outputs. The interviewer seemed pretty laid-back from the beginning and didn't make much effort to create a welcoming atmosphere.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

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Instacart

Data Scientist

Analytics · nearly a year ago

Senior Average Positive experience No offer 4 rounds
Interview process
Technical screen Take home Onsite Background check Offer
Interview formats
Technical Presentation Behavioral

The interview process started with a tech screening, then a take-home assessment where I had to review an experiment and provide a recommendation. After that, there were four rounds for the virtual on-site. One of these rounds was to go over the assessment I had previously submitted, and the others were standard interviews, including one with a bar raiser and the hiring manager.

Confirmed questions7 questions
  • Can you discuss a past project in detail?
  • Describe a project where you reviewed an experiment and provided a recommendation.
  • Please present your findings and recommendations from the take-home assessment.
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Instacart

Data Scientist

Analytics · nearly a year ago

Mid Average Neutral experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Coding

The interview process was straightforward, starting with HR and then moving to technical interviews. The technical part included questions on statistics and math. Everything moved quite fast. My interviewer was very late without an apology and generally unfriendly, but a friend interviewing at the same time had a better experience and got the same questions.

Confirmed questions1 question
  • If we were to introduce 15-minute deliveries in an existing delivery area, what statistical methods would you use to evaluate the outcome?

Instacart Data Scientist Interview Questions

Quoted word for word from Instacart interview reports.

Regarding right-skewed distributions, is it appropriate to apply a log transform?

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Is it acceptable to use retention rates as a measure of user satisfaction?

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Can you compare and contrast random forest with gradient boosting?

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For an A/B test analysis on the thanksgiving-coupon experiment, where users are either in the incentive group (getting $10 off) or non-incentive group, and the coupon expires on 11/29/2020 PST, how would you analyze the results? You have access to the Experiments table (user_id, experiment, group_ind, assigned_at_utc) and the Orders table (user_id, order_id, order_created_timestamp_utc, order_amount_usd), and you can convert UTC timestamps to PST. You also have the Coupon_spend table (user_id, order_id) for tracking redeemed coupons.

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Can you explain how to perform power analysis for an A/B test?

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Describe your approach to using logistic regression for predicting a continuous outcome.

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Explain how you would utilize logistic regression to forecast the amount of a purchase.

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If we were to introduce 15-minute deliveries in an existing delivery area, what statistical methods would you use to evaluate the outcome?

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Formats, difficulty and experience

Across all 34 Instacart interview reports.

Interview formats

Technical 39.3%
Coding 23.8%
Behavioral 15.5%
Case 10.7%
Presentation 7.1%

Interview difficulty

Easy 11.8%
Average 70.6%
Difficult 17.6%

Candidate experience

Positive 35.3%
Negative 35.3%
Neutral 29.4%