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Applied Materials Data Scientist Interview Questions and Answers

Updated 18 Aug 2024

Applied Materials Data Scientist Interview Experiences

3 interviews found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Explain about the project
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company

    • Used historical customer data to train the model

    • Implemented various classification algorithms such as logistic regression, random forest, and XGBoost

    • Evaluated model performance using metrics like accuracy, precision, recall, and F1 score

  • Answered by AI
  • Q2. Basic SQLQuestions
Round 2 - Panel interview 

(2 Questions)

  • Q1. Intermediate level SQL questions
  • Q2. Intermediate level python/machine learning questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. Program complexity.
  • Q2. Code efficiency
Round 2 - HR 

(2 Questions)

  • Q1. What do you like about AMAT?
  • Ans. 

    AMAT is a leading provider of semiconductor manufacturing equipment and services.

    • AMAT is known for its cutting-edge technology and innovation in the semiconductor industry.

    • I appreciate AMAT's commitment to research and development, constantly pushing the boundaries of what is possible.

    • The company has a strong global presence and a track record of delivering high-quality products and services.

    • AMAT's focus on sustainabil...

  • Answered by AI
  • Q2. How do you like working?
  • Ans. 

    I enjoy working in a collaborative environment where I can use my analytical skills to solve complex problems.

    • I thrive in environments where I can work with a team to brainstorm ideas and solutions.

    • I appreciate opportunities to use data analysis techniques to uncover insights and drive decision-making.

    • I value a work culture that encourages continuous learning and professional growth.

    • I find satisfaction in overcoming ch...

  • Answered by AI

Data Scientist Interview Questions Asked at Other Companies

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Q3. You have a pandas dataframe with three columns filled with state ... read more
asked in Walmart
Q4. Describe the data you would analyze to solve cost and revenue opt ... read more
Q5. Clone a Linked List with Random Pointers Given a linked list wher ... read more
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

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

Round 1 - Technical 

(1 Question)

  • Q1. How Decision tree works
  • Ans. 

    Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.

    • Decision tree splits data into subsets based on the value of a certain attribute

    • It recursively divides data into smaller subsets until a stopping criterion is met

    • Each internal node represents a decision based on an attribute, and each leaf node represents the outcome

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. How pressure varies wrt temperature
  • Ans. 

    Pressure generally increases with temperature due to the kinetic energy of gas molecules.

    • Pressure is directly proportional to temperature in a closed system (Boyle's Law).

    • As temperature increases, gas molecules move faster and collide with the container walls more frequently, increasing pressure.

    • For example, a balloon inflated indoors may burst when taken outside on a hot day due to increased pressure from higher tempe...

  • Answered by AI
Round 3 - HR 

(1 Question)

  • Q1. What challenges you faced

Skills evaluated in this interview

Top trending discussions

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Interview Tips & Stories
1w (edited)
a team lead
Why are women still asked such personal questions in interview?
I recently went for an interview… and honestly, m still trying to process what just happened. Instead of being asked about my skills, experience, or how I could add value to the company… the questions took a totally unexpected turn. The interviewer started asking things like When are you getting married? Are you engaged? And m sure, if I had said I was married, the next question would’ve been How long have you been married? What does my personal life have to do with the job m applying for? This is where I felt the gender discrimination hit hard. These types of questions are so casually thrown at women during interviews but are they ever asked to men? No one asks male candidates if they’re planning a wedding or how old their kids are. So why is it okay to ask women? Can we please stop normalising this kind of behaviour in interviews? Our careers shouldn’t be judged by our relationship status. Period.
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Interview questions from similar companies

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

I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. What is Adaboost?
  • Ans. 

    Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.

    • Adaboost stands for Adaptive Boosting.

    • It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.

    • The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.

    • Example: Adaboost is commonly used in face det...

  • Answered by AI
  • Q2. Print the binary tree in different order
  • Ans. 

    Printing a binary tree in different orders

    • Use inorder traversal to print the binary tree in ascending order

    • Use preorder traversal to print the binary tree in root-left-right order

    • Use postorder traversal to print the binary tree in left-right-root order

  • Answered by AI

Skills evaluated in this interview

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
-
Result
Not Selected
Round 1 - Technical 

(1 Question)

  • Q1. Dropout in. Deep learning
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Coding Test 

Binary tree question was asked

Round 2 - Technical 

(1 Question)

  • Q1. Several tech question related to past projects and random forest etc were asked.
Round 3 - HR 

(1 Question)

  • Q1. Tell me about yourself and several other questions
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Not Selected

I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Few standard dsa questions were asked.

Round 2 - HR 

(2 Questions)

  • Q1. Explain projects
  • Ans. 

    Projects are specific tasks or assignments that require a set of skills and resources to achieve a particular goal or outcome.

    • Projects involve defining objectives and deliverables

    • They require planning, execution, and monitoring

    • Projects often have timelines and budgets

    • Examples: Data analysis project to identify customer trends, Project to implement a new software system

  • Answered by AI
  • Q2. Introduce urself

Interview Preparation Tips

Interview preparation tips for other job seekers - study dsa
Are these interview questions helpful?

I applied via Recruitment Consulltant and was interviewed before Aug 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Difference between CNN and MLP
  • Ans. 

    CNN is used for image recognition while MLP is used for general classification tasks.

    • CNN uses convolutional layers to extract features from images while MLP uses fully connected layers.

    • CNN is better suited for tasks that require spatial understanding like object detection while MLP is better for tabular data.

    • CNN has fewer parameters than MLP due to weight sharing in convolutional layers.

    • CNN can handle input of varying ...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Brush up basic statistics . Also prepare atleast 2 , 3 ML algorithms for the interview.

Skills evaluated in this interview

I applied via Company Website and was interviewed before May 2021. There was 1 interview round.

Round 1 - Technical 

(1 Question)

  • Q1. Basics of regression, bias variance

Interview Preparation Tips

Topics to prepare for GE Healthcare Data Scientist interview:
  • python
Interview preparation tips for other job seekers - ML basics. Some insight into past projects

I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.

Interview Questionnaire 

2 Questions

  • Q1. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, random forest, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forest

    • Random forest hyperparameters include number of trees, maximum depth, minimum samples split, and minimum samples leaf

    • ROC curve is a graphical representation of...

  • Answered by AI
  • Q2. 1) Model building process of one of my previous projects 2) Random forest hyperparameters 3) ROC curve, using the ROC curve to set probability cutoffs in classication models 4) Gradient boosting techniques...
  • Ans. 

    Data Scientist interview questions on model building, hyperparameters, ROC curve, gradient boosting, and real estate valuation

    • For model building, I followed the CRISP-DM process and used various algorithms like logistic regression, decision trees, and random forests

    • Random forest hyperparameters include number of trees, maximum depth, and minimum samples for a leaf node

    • ROC curve is a graphical representation of the trad...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - My advice would be to search on Google regarding "100 data science interview questions" or something like it, and as you go through each question and its answer, just search the Wikipedia or Google for each concept for a little more depth. As for Python coding questions, most questions in such interviews are asked only about the Pandas library of Python. So try to study how to use Pandas to manipulate data. A good reference is the Python For Data Analysis book by Wes McKinney, whose free PDF is most probably available online on Google.

Skills evaluated in this interview

Applied Materials Interview FAQs

How many rounds are there in Applied Materials Data Scientist interview?
Applied Materials interview process usually has 2-3 rounds. The most common rounds in the Applied Materials interview process are Technical, HR and One-on-one Round.
How to prepare for Applied Materials 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 Applied Materials. The most common topics and skills that interviewers at Applied Materials expect are Python, Machine Learning, Data Science, R and Deep Learning.
What are the top questions asked in Applied Materials Data Scientist interview?

Some of the top questions asked at the Applied Materials Data Scientist interview -

  1. How Decision tree wo...read more
  2. Intermediate level python/machine learning questi...read more
  3. Intermediate level SQL questi...read more

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Overall Interview Experience Rating

4.3/5

based on 3 interview experiences

Difficulty level

Moderate 100%

Duration

Less than 2 weeks 67%
6-8 weeks 33%
View more

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Applied Materials Data Scientist Salary
based on 46 salaries
₹10.9 L/yr - ₹26.5 L/yr
22% more than the average Data Scientist Salary in India
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based on 3 reviews

2.8/5

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1.9

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2.9

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2.9

Company culture

1.9

Promotions

2.8

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