Role guide · Updated Sep 7, 2026

Data Scientist Interview Guide 2026

Data Scientist loops test Python, SQL and Feature Engineering first, then Problem Solving and Machine Learning. Everything below is aggregated from 19,542 candidate reports and 2,391 company guides.

19,542
Candidate reports
40,936
Reported questions
2,391
Companies with a guide
4rounds
Median loop length
01 · What interviews test

Topics by share of guides

Python
47%
SQL
40%
Feature Engineering
23%
Problem Solving
23%
Machine Learning
21%
Data Visualization
14%
Statistical Modeling
11%
Behavioral Interviewing
11%
02 · Typical process

Recurring stages, by frequency

  1. 1
    Recruiter or HR screen
    Background, motivation, target level and timeline.
    82%
  2. 2
    Technical screen
    A short live technical round before the main loop.
    12%
  3. 3
    Assessment or take-home
    Online test, case study or take-home exercise.
    58%
  4. 4
    Technical interviews
    Deep dives on the core skills the role tests.
    54%
  5. 5
    Hiring manager interview
    Role fit, past work and how you would operate on the team.
    12%
  6. 6
    Panel or team interviews
    Several interviewers at once, often cross-functional.
    23%
  7. 7
    Behavioral and culture fit
    Past situations, collaboration and values.
    27%
  8. 8
    Final or onsite round
    A multi-interview loop, sometimes with leadership.
    37%
03 · Company guides

Popular Data Scientist interview guides

Browse all 2,391 →
07 · Recent experiences

What candidates reported recently

All experiences →
Walmart
Jul 30, 2026 · Difficult

My interview process felt unusually intense and a bit chaotic from the start. After an initial technical screening phase, I had a supply chain-focused technical round with multiple interviewers at once, including SQL, Python, statistics (one of the questions was probability), and then deeper discussion of machine learn

No offer
Shopify
Jul 24, 2026 · Average

After I applied online, I heard back from HR within about a week. The first round was a 30-minute behavioral and background interview focused on my experience and fit. Shortly after, I did a one-hour technical screening with a team member where the questions split between SQL and Python, and it felt pretty structured a

No offer
DoorDash
Jul 23, 2026 · Average

My process began with an HR-style call where they talked through the role, compensation/benefits, and how the overall hiring flow worked. After that, I had a technical screen that moved fast. The first part was a SQL round using a Hackerrank-style format with four medium questions—there was barely enough time for the l

No offer
Upstart
Jul 23, 2026 · Difficult

After an initial recruiter screen, I was told the next step would be a fairly straightforward conversation with the hiring manager with just one technical question at the end. That’s not how it played out at all for me: the hiring-manager discussion turned into a rapid sequence of introductions followed by a deep dive

No offer
Upstart Network
Jul 23, 2026 · Difficult

After a recruiter screen that felt straightforward, I was told the next step would be a relatively short conversation with the hiring manager—about forty-five minutes—with just one technical question at the end about A/B testing. That didn’t match how it played out. The hiring manager interview quickly turned into most

No offer
Prep for Data Scientist interviews with a plan built from this data
A question queue weighted to the topics above, plus scored mock interviews.