Autodesk Data Scientist Interview GuideAutodesk Data Scientist Interview Guide

Overview

Getting ready for an Data Scientist interview at Autodesk? The Autodesk Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for Autodesk Data Scientist roles.
  • Gain insights into the Data Scientist interview process at Autodesk.
  • Practice real Autodesk Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Autodesk Data Scientist interview.

Autodesk Data Scientist Salary

$116,078

Average Base Salary

$135,040

Average Total Compensation

Min: $86K
Max: $156K
Base Salary
Median: $115K
Mean (Average): $116K
Data points: 25
Min: $70K
Max: $180K
Total Compensation
Median: $170K
Mean (Average): $135K
Data points: 7

View the full Data Scientist at Autodesk salary guide

Autodesk Data Scientist Interview Process

Typically, interviews at Autodesk vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Autodesk Data Scientist Interview Questions

Practice for the Autodesk Data Scientist interview with these recently asked interview questions.

Question
Topics
Difficulty
Ask Chance
Python
Easy
Very High
ML System Design
Hard
Very High
Machine Learning
Hard
Very High

This feature requires a user account

Sign up to get your personalized learning path.

feature

Access 600+ data science interview questions

feature

1600+ top companies interview guide

feature

Unlimited code runs and submissions


View all Autodesk Data Scientist questions

Autodesk Data Scientist Jobs

👉 Reach 100K+ data scientists and engineers on the #1 data science job board.
Submit a Job
Data Scientist
Data Scientist
Data Scientist
Data Scientist
Technical Lead Principal Software Engineer Data Pipelines Generative Ai
Data Engineer Data Services
Principal Software Engineer
Technical Lead Principal Software Engineer Data Pipelines Generative Ai
Innovation Marketing Data Analyst
Machine Learning Engineer