Salesforce Data Scientist Interview Guide

Overview

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

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

Salesforce Data Scientist Salary

$153,175

Average Base Salary

$310,559

Average Total Compensation

Min: $99K
Max: $222K
Base Salary
Median: $140K
Mean (Average): $153K
Data points: 92
Min: $179K
Max: $544K
Total Compensation
Median: $288K
Mean (Average): $311K
Data points: 33

View the full Data Scientist at Salesforce salary guide

Cultural and Behavioral Questions

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Can you tell me about a challenging machine learning project you have worked on in the past? Please describe the problem you were solving, the approach you took, and the results you achieved.

When discussing a challenging machine learning project, it’s essential to outline the context and complexity of the problem. Start by explaining the specific challenge, such as predicting customer churn or optimizing a recommendation system. Detail the methodologies you employed, like feature engineering, model selection, and validation techniques. Finally, discuss the outcomes, including metrics like accuracy improvements or business impact, and reflect on the lessons learned, such as the importance of data quality or team collaboration.

Describe a time when you faced a disagreement with a team member during a project. How did you handle the situation, and what was the outcome?

In your response, emphasize your communication and conflict-resolution skills. Start by providing context about the disagreement, whether it was about a technical approach or project deadlines. Explain how you initiated a constructive conversation, actively listened to the other person's perspective, and sought common ground. Conclude with the resolution you reached and any positive outcomes from the experience, such as improved collaboration or project success.

Tell me about a time when you had to learn a new technology or tool quickly to complete a project. What steps did you take to familiarize yourself, and how did it impact the project?

When addressing this question, focus on your ability to adapt and learn. Describe the technology you needed to learn, the resources you utilized for learning (such as online courses or documentation), and how you applied that knowledge in the project. Highlight the impact of your quick learning on the project’s success, such as meeting deadlines or enhancing project outcomes, and reflect on how this experience has shaped your approach to continuous learning.

Salesforce Data Scientist Interview Process

Typically, interviews at Salesforce 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.

Salesforce Data Scientist Interview Questions

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

Question
Topics
Difficulty
Ask Chance
Python
Medium
Very High
Machine Learning
Hard
High

View all Salesforce Data Scientist questions

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