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ML Knowledge
2 years ago
Can you provide a detailed explanation of what constitutes a minimum height tree and the steps to create it?
Data Scientist

Shopee

Nubank

Hitachi

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2 years ago
Behavioral
2 years ago
Where do you find yourself in terms of balancing your current workload?
Data ScientistFull Stack Software EngineerFrontend EngineerQuality Assurance Engineer

Shopee

Hired

Mailchimp

So for my current role we move in a very fast paced environment, and we brainstorm new ideas everyday on how to make our workflow more efficient and more reliable, which can definitely get overwhelming over time. So I would first assess projects' urgency and impact, and then for each project, I break it down into small milestones. After that I track them on project management tools like Jira to ensure I allocate my time effectively and communicate proactively with stakeholders

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2 years ago
ML Knowledge
2 years ago
What assortment of loss functions are you acquainted with?
Data Scientist

Shopee

Square Logo

Square

Takeaway Logo

Takeaway

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2 years ago
ML Knowledge
2 years ago
Could you describe some of the machine learning architectures that you've worked with thus far in your career?
Data Scientist

Shopee

Huawei Logo

Huawei

Affirm Logo

Affirm

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2 years ago
Behavioral
2 years ago
What has been your biggest achievement so far.
Data ScientistEngineering ManagerUX DesignerUX Researcher

Shopee

Hailo Logo

Hailo

Magic Leap Logo

Magic Leap

As Program Manager my biggest achievement was leading the development of a complex electromechanical module for HP. The project consisted of developing and producing a huge electromechanical module for a high-speed large format printer.

I was in charge of overseeing the entire Product Development Process, from requirements gathering and solution design to development, testing, deployment, and mass production release.

The Key aspects of this project included

1.Strategic planning: I developed a plan including the project Objectives, scope, and deliverables, as well as timelines, milestones, and resource requirements.

2.Stakeholders management: I engaged with key stakeholders such as business leaders, external vendors, and customers to keep them all on the same page, ensure alignment, and address concerns.

3.Risk Management: Identifying potential risks and challenges associated with product performance, compatibility with external modules, material availability, etc.

4.Collaboration and Communication: I facilitated collaboration and communication among cross-functional teams involved in the project, including engineering, operations staff, and materials, to ensure alignment.

5.Quality Assurance: Implementing robust testing processes and quality assurance measures to ensure reliability and performance.

6.Mass production release: Worked with all operational teams to ensure material and factory readiness to launch the program to mass production

Finally, the project was released on time and satisfied all stakeholders, internal and customer. This reinforced the importance of clear and transparent communication between stakeholders to drive successful technical outcomes and foster a collaborative team environment.

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2 years ago
Statistics
2 years ago
What's your strategy for calculating the interquartile range from an unsorted list of decimals?
Data Scientist

Shopee

LinkedIn Logo

LinkedIn

Groupon Logo

Groupon

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2 years ago
Data Visualization
2 years ago
What approaches would you take to graphically represent multi-dimensional datasets?
Data Scientist

Shopee

Sprout Social Logo

Sprout Social

SwiftKey Logo

SwiftKey

Muti-dimentional data means data with many features. We usually group by specific features and then calculate the summary statistics, using histogram. For example, in sales data, we can group by product category, and count the number of sales per week to understand top N product. 

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2 years ago
Coding
2 years ago
Program Conway’s game of life in Python.
Data Scientist

Shopee

Binance Logo

Binance

Shopify Logo

Shopify

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2 years ago
ML Knowledge
2 years ago
Precision and recall are two common metrics used to evaluate the performance of classification models. Can you explain what they measure and how they are calculated? Also, discuss some situations where these metrics may not be suitable for assessing model accuracy.
Data Scientist

Shopee

Benchling Logo

Benchling

Broadcom Logo

Broadcom

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2 years ago
Product Case
2 years ago
What data would you gather to assess the level of interest and excitement from our users towards the video chat feature?
Data Scientist

Shopee

Yandex Logo

Yandex

Blend Logo

Blend

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2 years ago

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Data Scientist

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Statistical
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Data Scientist

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Metrics and Experimentation
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Shopee

Data Scientist

Prepare for ML / Modeling interview at Shopee

ML / Modeling
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Shopee

Data Scientist

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Problem Solving
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Shopee

Data Scientist

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SQL
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Shopee

Data Scientist

Prepare for Resume Review interview at Shopee

Resume Review
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Shopee

Data Scientist

Prepare for Behavioral interview at Shopee

Behavioral

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*All interview questions are submitted by recent Shopee Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Shopee.

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