Micron Technology Data Scientist Interview Questions + Guide in 2025

Micron Technology is a world leader in memory and storage solutions that accelerate the transformation of information into intelligence, helping the world communicate and advance faster. The company focuses on innovations that enrich life for all by continuously pushing the boundaries of technology.

For the Data Scientist position, Micron seeks individuals skilled in techniques and theories from mathematics, statistics, machine learning, and information technology. The role involves developing predictive models, actionable insights, and solutions by analyzing large datasets. Ideal candidates should possess strong technical skills in statistical modeling, machine learning, and programming languages such as Python and R. This role also emphasizes team collaboration and communication skills.

In this guide, we’ll explore the interview process, commonly asked Micron Technology data scientist interview questions, and essential preparations. Let’s dive in and help you secure your next role at Micron!

The interview process usually depends on the role and seniority; however, you can expect the following on a Micron Technology data scientist interview:

Recruiter/Hiring Manager Call Screening

If your CV is among the shortlisted few, a recruiter from the Micron Talent Acquisition Team will contact you and verify key details like your experiences and skill level. Behavioral questions may also be part of the screening process.

Sometimes, the Micron data scientist hiring manager may be present during the screening round to answer your queries about the role and the company itself. The manager may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Online Assessment

You may be invited to complete an online assessment upon passing the recruiter screening. This typically consists of:

• 2 coding questions in 40 minutes
• 45 multiple-choice questions (MCQs) in 45 minutes, covering Python output-based questions, aptitude, and basic statistics.

Technical Virtual Interview

The next step is the technical virtual interview, which usually involves two rounds conducted via video conference. The first technical round generally involves core aspects such as:

• ML background and experience, with questions focusing on ML models, cross-validation, and probability basics.
• Some SQL basics and logical problem-solving questions.

This will be followed by a take-home assignment requiring an end-to-end ML project. Candidates will need to submit the code and a summary report.

Onsite Interview Rounds

Successfully navigating the previous rounds will invite you to onsite interview rounds. Typically, this includes:

• Presentation of the take-home assignment before a panel of data engineers, data scientists, and leaders.
• Rounds of interviews lasting around 1 hour each, including the hiring manager, senior managers, and HR. These interviews may focus on:
  • Technical questions around algorithms, machine learning methods, and statistical models.
  • Behavioral questions to understand your role in a team, conflict management, and alignment with Micron’s core values.

Typically, interviews at Micron Technology vary by role and team, but commonly, Data Scientist interviews follow a fairly standardized process across these question topics.

1. Create a function precision_recall to calculate precision and recall metrics from a 2-D matrix.

Given a 2-D matrix P of predicted and actual values, write a precision_recall function to calculate precision and recall metrics. Return the ordered pair (precision, recall).

2. Develop a random forest model from scratch to classify a new data point based on dummy variables.

Build a random forest model from scratch with the following conditions: The model takes as input a dataframe data and an array new_point with length equal to the number of fields in the data. Both data and new_point values are 0 or 1. The forest is made of decision trees that go through every permutation of the value columns of the data frame and split the data according to the value seen in new_point for that column. Return the majority vote on the class of new_point. You may use pandas and NumPy but not scikit-learn.

3. How does random forest generate the forest and why use it over logistic regression?

Explain the process of generating a forest in a random forest and discuss the advantages of using random forest over logistic regression.

4. How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment?

As a data scientist at a bank, you must predict whether a borrower will repay a personal loan. Describe how you would determine if a decision tree is the right model and how you would evaluate its performance before and after deployment.

5. How would you combat overfitting in tree-based classification models?

When training a classification model, explain the strategies you would use to prevent overfitting in tree-based models.

6. What are the differences between XGBoost and random forest, and when would you use one over the other?

Describe the key differences between XGBoost and random forest algorithms and provide an example scenario where one would be preferred over the other.

7. Does increasing the number of trees in a random forest always improve model accuracy?

If you are working on a random forest model, discuss whether sequentially increasing the number of trees will continuously improve the model’s accuracy.

8. What is the downside of only using the R-Squared \((R^2)\) value to determine a model’s fit?

Suppose you are tasked with analyzing how well a model fits the data and want to determine a relationship between two variables. What are the limitations of relying solely on the R-squared \((R^2)\) value?

Here are some tips to help you ace your Micron data scientist interview:

1. Brush Up on Fundamentals: Ensure you are well-versed with machine learning algorithms, SQL queries, and basic statistics.

2. Project Experience: Be prepared to discuss your past projects in detail, especially those involving machine learning in manufacturing processes.

3. Behavioral Preparedness: Be ready to discuss team dynamics, conflict resolution, and your career aspirations within the semiconductor industry.

What is the average salary for a Data Scientist at Micron Technology?

What technical skills does Micron Technology look for in a Data Scientist?

Micron Technology seeks proficiency in Python or R, machine learning, deep learning, advanced mathematics, statistics, and big data analytics. Familiarity with SQL, Hadoop, Tensorflow, and manufacturing processes is also highly valued.

How does Micron ensure a conducive work environment for its Data Scientists?

Micron is dedicated to both personal well-being and professional growth. The company offers a robust benefits package that includes medical, dental, and vision plans, paid family leave, and a strong paid time-off program. Micron ensures an inclusive workplace with respect for diversity and equal opportunity.

What kind of projects do Data Scientists work on at Micron Technology?

Micron data Scientists work on a variety of high-impact projects, from developing predictive models to improving manufacturing cycles. They use data mining techniques to extract insights from vast amounts of structured and unstructured data, collaborating closely with data engineers and IT professionals.

What are the key behavioral qualities Micron Technology looks for in a Data Scientist during interviews?

Micron evaluates candidates’ ability to work collaboratively, manage conflicts, and communicate effectively. The company values team players who can contribute to technical discussions and cross-functional projects.

Micron’s dedication to personal wellbeing and professional growth provides an exceptional environment for career advancement, where you can work on cutting-edge technology and be part of a transformative journey.

Visit micron. com/careers to learn more about Micron Technology and gear up for a fascinating career filled with challenges and growth. If you have any more questions or need additional information, don’t hesitate to contact Micron’s People Organization at hrsupport_na@micron.com.

We also have our main Micron Technology interview guide which can definitely help you in your interview preparation!

Good luck with your interview and your journey to becoming part of the Micron family!