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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

Q1. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
Q2. Special Sum of Array Problem Statement Given an array 'arr' conta ... read more
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
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
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
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
2-4 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed before Mar 2023. There were 2 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Your past experience related questions
Round 2 - Technical 

(1 Question)

  • Q1. Role related questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Overall intrview process was easy
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I was interviewed in Oct 2023.

Round 1 - Coding Test 

Based on topological sort

Round 2 - Technical 

(1 Question)

  • Q1. Ml baiscs like LR, SVM
Round 3 - Technical 

(1 Question)

  • Q1. Ml design questions were asked
Round 4 - HR 

(1 Question)

  • Q1. Why do you want to join
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain Decision Trees
  • Ans. 

    Decision Trees are a popular machine learning algorithm used for classification and regression tasks.

    • Decision Trees are a tree-like structure where each internal node represents a feature or attribute, each branch represents a decision rule, and each leaf node represents the outcome.

    • They are easy to interpret and visualize, making them popular for exploratory data analysis.

    • Decision Trees can handle both numerical and c...

  • Answered by AI
  • Q2. How will you finetune LLMs
  • Ans. 

    LLMs can be finetuned by adjusting hyperparameters, training on specific datasets, and using techniques like transfer learning.

    • Adjust hyperparameters such as learning rate, batch size, and number of layers to improve performance.

    • Train the LLM on domain-specific datasets to improve its understanding of specialized language.

    • Utilize transfer learning by starting with a pre-trained LLM model and fine-tuning it on a smaller...

  • Answered by AI

Skills evaluated in this interview

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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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