Role guide · Updated Sep 4, 2026
Applied Scientist Interview Guide 2026
Applied Scientist loops test Deep Learning, SQL and Machine Learning first, then Feature Engineering and Python. Everything below is aggregated from 478 candidate reports and 70 company guides.
478
Candidate reports
1,091
Reported questions
70
Companies with a guide
3rounds
Median loop length
01 · What interviews test
Topics by share of guides
Deep Learning
31%
SQL
23%
Machine Learning
21%
Feature Engineering
21%
Python
20%
Natural Language Processing (NLP)
20%
Large Language Models (LLMs)
19%
Hyperparameter Tuning
16%
02 · Typical process
Recurring stages, by frequency
- 1Recruiter or HR screenBackground, motivation, target level and timeline.79%
- 2Technical screenA short live technical round before the main loop.21%
- 3Assessment or take-homeOnline test, case study or take-home exercise.38%
- 4Hiring manager interviewRole fit, past work and how you would operate on the team.6%
- 5Technical interviewsDeep dives on the core skills the role tests.57%
- 6Final or onsite roundA multi-interview loop, sometimes with leadership.56%
- 7Behavioral and culture fitPast situations, collaboration and values.21%
- 8Panel or team interviewsSeveral interviewers at once, often cross-functional.11%
03 · Company guides
Popular Applied Scientist interview guides
Microsoft
46 reports · 61 Qs
Amazon
29 reports · 102 Qs
Msft
19 reports · 1 Qs
Uber
18 reports · 30 Qs
Uber Drivers
17 reports · 31 Qs
Zalando
16 reports · 44 Qs
Amazon Development Center U.S.
14 reports · 38 Qs
Amazon Kuiper Commercial Services
14 reports · 38 Qs
Amazon DSP
14 reports · 33 Qs
Amazon Advertising
14 reports · 20 Qs
Thomson Reuters
13 reports · 30 Qs
ADCI - Karnataka
10 reports · 4 Qs
04 · Questions
Most common Applied Scientist questions
Prioritizing Across Competing Client Projects
Behavioral & Leadership
Easy
13 guidesSupervised vs Unsupervised Learning
Machine Learning
Easy
13 guidesDisagreeing on a Technical Direction
Behavioral & Leadership
Medium
12 guidesExplaining a Technical Concept Clearly
Behavioral & Leadership
Easy
8 guidesPivoting Under Changing Requirements
Behavioral & Leadership
Medium
8 guidesDesign Feature Drift Monitoring System
System Design
Hard
8 guidesHandling Missing Values in ML
Machine Learning
Easy
7 guidesOwning ML Project Impact
Behavioral & Leadership
Easy
7 guides05 · By category
Questions by category
- Machine Learning299
- Behavioral & Leadership273
- System Design197
- Coding162
- Model Evaluation57
- Statistics & Probability48
- NLP32
- SQL & Data Manipulation18
07 · Recent experiences
What candidates reported recently
Microsoft
Jul 30, 2026 · Average
My experience was technically normal up front, but the communication around it ended up being the hardest part. I was called for a virtual interview, and then minutes before it was scheduled I received an email saying it was canceled. They said they’d reschedule, but I never got a new time. Later, when I did manage to
No offer
Google
Jan 23, 2026 · Difficult
The process began with a short HR screen, followed by an initial technical round. It covered ML/deep learning and statistics questions, a resume deep dive, and included one ML coding task plus a follow-up; the interviewer was friendly.
No offer
Prep for Applied Scientist interviews with a plan built from this data
A question queue weighted to the topics above, plus scored mock interviews.