How hard is the Applied Materials Intern - Data Scientist interview?

The Applied Materials Intern - Data Scientist interview is rated Medium difficulty. The Applied Materials Intern - Data Scientist interview typically consists of a recruiter screen followed by 1–2 technical rounds. Expect Python and Machine Learning questions.

What questions are asked in the Applied Materials Intern - Data Scientist interview?

Common topics include Python, Machine Learning, Statistics, Algorithms. Describe a challenging Python problem you solved.

Tell me about a time when you had to work with a difficult team member

Situation: During my CS capstone project, I was paired with a teammate who rarely attended meetings and didn't complete assigned tasks on time. Task: I needed to ensure our group project stayed on track while maintaining team harmony. Action: I approached them privately to understand if they were facing personal challenges. I discovered they were struggling with the framework we chose. I offered to pair-program and created a shared study schedule. Result: Our teammate became more engaged, contributed meaningfully, and we delivered a successful application.

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Applied Materials Intern - Data Scientist

Santa Clara, CA·45 interview reviews·Hard difficulty

62% positive63% applied onlinePosted today

Difficulty

3.6/ 5

Experience

Positive62%

Neutral19%

Negative19%

Interview Source

Applied online63%

Recruiter17%

Referral14%

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Intern - Data Scientist Interview Reviews

Intern - Data Scientist Candidate

Dec 20, 2025 · Austin, TX

✓ OfferPositiveDifficult

Had a recruiter screen first, then a technical round focused on system design and coding. The interviewer was very professional and walked through the problem step by step. Good overall experience.

Interview QuestionEasy

“Valid Parentheses - Determine if the input string has valid bracket pairs”

Stack

Intern - Data Scientist Candidate

Jan 26, 2026 · San Francisco, CA

✗ No offerNeutralAverage

Online assessment was difficult, but the final round technical was just 2 leetcode questions. Studying tagged questions and general leetcode helps a lot. Interviewer was friendly and wanted me to succeed.

Interview QuestionMedium

“Design TinyURL - Design a URL shortening service like bit.ly”

System Design

Intern - Data Scientist Candidate

Sep 14, 2025 · Menlo Park, CA

✗ No offerNeutralAverage

CodeSignal online assessment, then one 45-minute interview. Interviewer was friendly and helpful. 2 leetcode questions then 5 minutes for any questions I had. Got my results in a few days.

Interview QuestionMedium

“Describe a time when you had to learn something quickly to complete a project”

Learning & GrowthBehavioral

Intern - Data Scientist Candidate

Mar 24, 2025 · San Francisco, CA

✓ OfferNeutralDifficult

Applied online and heard back in about a week. The technical interview was 45 minutes with two coding problems. Focus on time complexity and edge cases. The behavioral portion was brief but important.

Interview QuestionEasy

“Two Sum - Given an array of integers and a target, return indices of the two numbers that add up to target”

Arrays & Hashing

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About This Role

Focus Areas

PythonMachine LearningStatistics

Key Skills

PythonMachine LearningStatisticsAlgorithms

Details

CompanyApplied Materials

LocationSanta Clara, CA

Postedtoday

TierEnterprise

Frequently Asked Questions

How hard is it to get hired as a Intern - Data Scientist at Applied Materials?

The interview difficulty is rated 3.6/5 by candidates. 62% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.

How long does the Applied Materials Intern - Data Scientist hiring process take?

The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.

What is the interview process like?

Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 63% of candidates applied online.

What questions are asked in a Applied Materials Intern - Data Scientist interview?

Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.