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ServiceNow Data Scientist Interview Questions and Answers

Updated 29 Jun 2024

ServiceNow Data Scientist Interview Experiences

2 interviews found

Data Scientist Interview Questions & Answers

user image Yogendra Singh

posted on 21 May 2024

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(3 Questions)

  • Q1. About projects and then questions related to ML and DL. Mostly focused on DL part
  • Q2. What is the difference between Adam optimizer and Gradient Descent Optimizer?
  • Ans. 

    Adam optimizer is an extension to the Gradient Descent optimizer with adaptive learning rates and momentum.

    • Adam optimizer combines the benefits of both AdaGrad and RMSProp optimizers.

    • Adam optimizer uses adaptive learning rates for each parameter.

    • Gradient Descent optimizer has a fixed learning rate for all parameters.

    • Adam optimizer includes momentum to speed up convergence.

    • Gradient Descent optimizer updates parameters b...

  • Answered by AI
  • Q3. When to use Relu and when not?
  • Ans. 

    Use ReLU for hidden layers in deep neural networks, avoid for output layers.

    • ReLU is commonly used in hidden layers to introduce non-linearity and speed up convergence.

    • Avoid using ReLU in output layers for regression tasks as it can lead to vanishing gradients.

    • Consider using Leaky ReLU or Sigmoid for output layers depending on the task.

    • ReLU is computationally efficient and helps in preventing the vanishing gradient prob...

  • Answered by AI

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Not Selected

I applied via Company Website and was interviewed in Dec 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Standard question from sql and python in hackerrank

Round 2 - Technical 

(2 Questions)

  • Q1. Reverse a linked list
  • Ans. 

    Reverse a linked list by changing the direction of pointers

    • Start with three pointers: current, previous, and next

    • Iterate through the linked list, updating pointers to reverse the direction

    • Return the new head of the reversed linked list

  • Answered by AI
  • Q2. Question based on joins and subquery
Round 3 - HR 

(2 Questions)

  • Q1. More question about project
  • Q2. What do you know about genAI

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep it simple and be honest

Skills evaluated in this interview

Data Scientist Interview Questions Asked at Other Companies

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asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with Random Pointers Given a linked list wher ... read more
asked in Coforge
Q5. coding question of finding index of 2 nos. having total equal to ... read more

Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Apr 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. How does fbpropher forecasting model works and how is can be used to forecsst trafffic
  • Ans. 

    fbprophet is a forecasting model developed by Facebook that uses time series data to make predictions.

    • fbprophet is an open-source forecasting tool developed by Facebook's Core Data Science team.

    • It is based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects.

    • fbprophet can be used to forecast traffic by providing historical data on traffic patterns and usi...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Thourough with maths of forecasting techniques and parameter tuning
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Approached by Company and was interviewed in Aug 2023. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. How can Logistic regression be applied for multiclasstext classification
  • Ans. 

    Logistic regression can be applied for multiclasstext classification by using one-vs-rest or softmax approach.

    • One-vs-rest approach: Train a binary logistic regression model for each class, treating it as the positive class and the rest as the negative class.

    • Softmax approach: Use the softmax function to transform the output of the logistic regression into probabilities for each class.

    • Evaluate the model using appropriate...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Company Website and was interviewed in Jul 2024. There were 5 interview rounds.

Round 1 - One-on-one 

(1 Question)

  • Q1. Basic ml related questions,past project discussion
Round 2 - One-on-one 

(1 Question)

  • Q1. AI, ML related, statistical analysis of the graph.
Round 3 - Behavioral 

(1 Question)

  • Q1. Work culture, check
Round 4 - cross functional lob 

(1 Question)

  • Q1. Work culture, project discussion, scenario based questions
Round 5 - HR 

(1 Question)

  • Q1. Basic HR questions, why sap salary discussions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed before Sep 2023. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Explain K-Means algorithm
  • Ans. 

    K-Means is a clustering algorithm that partitions data into K clusters based on similarity.

    • Divides data points into K clusters based on distance from centroid

    • Iteratively updates centroids to minimize within-cluster variance

    • Requires specifying number of clusters K beforehand

    • Example: Grouping customers based on purchasing behavior

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. How do you select the appropriate learning algorithm for a problem?
  • Ans. 

    Selecting the appropriate learning algorithm involves considering the problem's characteristics and requirements.

    • Understand the problem's nature, such as classification, regression, clustering, etc.

    • Consider the size of the dataset and the computational resources available.

    • Evaluate the complexity of the relationships within the data.

    • Experiment with different algorithms and compare their performance using metrics like ac...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. Questions to assess compatibility with team culture

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(1 Question)

  • Q1. Python, alogrithms, data science
Round 2 - Coding Test 

Python 45 mins, OOPS Concepts, SQL

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Oct 2023. There were 3 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. What is p value
  • Ans. 

    P value is a statistical measure that helps determine the significance of results in hypothesis testing.

    • P value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

    • A small p value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

    • Conversely, a large p value (> 0.05) suggests weak evidence against the null hypot...

  • Answered by AI
  • Q2. When will you use t test
  • Ans. 

    T test is used to determine if there is a significant difference between the means of two groups.

    • Use t test when comparing means of two groups to determine if there is a significant difference.

    • Commonly used in hypothesis testing to assess if there is a statistically significant difference between groups.

    • Example: Comparing the average test scores of students who received tutoring versus those who did not.

    • Example: Testin...

  • Answered by AI
Round 2 - Case Study 

How will you do customer segmentation

Round 3 - One-on-one 

(2 Questions)

  • Q1. Tools you worked on previously
  • Ans. 

    I have worked with tools such as Python, R, SQL, Tableau, and Excel for data analysis and visualization.

    • Python

    • R

    • SQL

    • Tableau

    • Excel

  • Answered by AI
  • Q2. Why did you choose cisco
  • Ans. 

    I chose Cisco for its reputation as a leader in networking technology and its commitment to innovation.

    • Cisco is a global leader in networking technology

    • Cisco has a strong reputation for innovation and cutting-edge solutions

    • I admire Cisco's commitment to diversity and inclusion in the workplace

  • Answered by AI

ServiceNow Interview FAQs

How many rounds are there in ServiceNow Data Scientist interview?
ServiceNow interview process usually has 2 rounds. The most common rounds in the ServiceNow interview process are Technical, HR and Coding Test.
How to prepare for ServiceNow Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at ServiceNow. The most common topics and skills that interviewers at ServiceNow expect are Licensing, Python, microsoft, Data Analysis and Data Mining.
What are the top questions asked in ServiceNow Data Scientist interview?

Some of the top questions asked at the ServiceNow Data Scientist interview -

  1. What is the difference between Adam optimizer and Gradient Descent Optimiz...read more
  2. When to use Relu and when n...read more
  3. Reverse a linked l...read more

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ServiceNow Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
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