The Grab Research Scientist interview guide, interview questions, salary data, and interview experiences.

Grab Research Scientist Interview Guide

Getting ready for an Research Scientist interview at Grab? The Grab Research Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Grab Research Scientist roles.</li>
<li>Gain insights into the Research Scientist interview process at Grab.</li>
<li>Practice real Grab Research Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Grab Research Scientist interview.


Getting ready for an Research Scientist interview at Grab? The Grab Research Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Grab Research Scientist roles.
- Gain insights into the Research Scientist interview process at Grab.
- Practice real Grab Research Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Grab Research Scientist interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Grab Research Scientist Interview Process

There are two lists of dictionaries representing friendship beginnings and endings: <code>friends_added</code> and <code>friends_removed</code>. Each dictionary contains the <code>user_ids</code> and <code>created_at</code> time of the friendship beginning /ending.

Write a function <code>friendship_timeline</code> to generate an output that lists the pairs of friends with their corresponding timestamps of the friendship beginning and then the timestamp of the friendship ending.

Note: There can be multiple instances over time when two people became friends and unfriended; only output lists when a corresponding friendship was removed.

Example:

Input:

<pre tabindex="0" class="chroma"><code>friends_added = [
 {&#39;user_ids&#39;: [1, 2], &#39;created_at&#39;: &#39;2020-01-01&#39;},
 {&#39;user_ids&#39;: [3, 2], &#39;created_at&#39;: &#39;2020-01-02&#39;},
 {&#39;user_ids&#39;: [2, 1], &#39;created_at&#39;: &#39;2020-02-02&#39;},
 {&#39;user_ids&#39;: [4, 1], &#39;created_at&#39;: &#39;2020-02-02&#39;}]

friends_removed = [
 {&#39;user_ids&#39;: [2, 1], &#39;created_at&#39;: &#39;2020-01-03&#39;},
 {&#39;user_ids&#39;: [2, 3], &#39;created_at&#39;: &#39;2020-01-05&#39;},
 {&#39;user_ids&#39;: [1, 2], &#39;created_at&#39;: &#39;2020-02-05&#39;}]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>friendships = [{
 &#39;user_ids&#39;: [1, 2],
 &#39;start_date&#39;: &#39;2020-01-01&#39;,
 &#39;end_date&#39;: &#39;2020-01-03&#39;
 },
 {
 &#39;user_ids&#39;: [1, 2],
 &#39;start_date&#39;: &#39;2020-02-02&#39;,
 &#39;end_date&#39;: &#39;2020-02-05&#39;
 },
 {
 &#39;user_ids&#39;: [2, 3],
 &#39;start_date&#39;: &#39;2020-01-02&#39;,
 &#39;end_date&#39;: &#39;2020-01-05&#39;
 },
]
</code></pre>

Write a function friendship_timeline to generate an output that lists the pairs of friends with their corresponding timestamps of the friendship beginning and then the timestamp of the friendship ending. 

Friendship Timeline

Python & General Programming

The probability that it will rain tomorrow is dependent on whether or not it is raining today and whether or not it rained yesterday.

If it rained yesterday and today, there is a 20% chance it will rain tomorrow. If it rained one of the days, there is a 60% chance it will rain tomorrow. If it rained neither today nor yesterday, there is a 20% chance it will rain tomorrow.

Given that it is raining today and that it rained yesterday, write a function <code>rain_days</code> to calculate the probability that it will rain on the nth day after today.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n=5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def rain_days(n) -&gt; 0.39968
</code></pre>

Given that it is raining today and that it rained yesterday, write a function to calculate the probability that it will rain on the nth day after today.

Rain in N Days

Probability

Design a database schema for a blogging platform. The schema should include tables for users, posts, comments, and tags. Describe the relationships between the tables, as well as any constraints you would apply.

Design a database schema for a blogging platform.

Blogging Platform Schema

Data Modeling

Grab Research Scientist Interview Questions

Senior Data Scientist, Conversational AI (GrabSupport)
Full-time
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Get to Know our team
Grab Support is a technology-driven team focused on helping users when they need assistance. The Data Science team within Grab Support is dedicated to developing machine learning and natural language processing (NLP) technologies that make our products smarter. Currently, the team is building advanced conversational AI solutions to bring user experience to the next level.
Get to Know the role
As a Senior Data Scientist specialising in Conversational AI, you will report directly to the Head of Data Science, Integrity & Core Experience, and work onsite at Grab One North Singapore office. You will lead the development of modern chatbot technologies designed to handle diverse customer inquiries across Grab’s super-app ecosystem. Your work will empower users with thoughtful and seamless support interactions. You are also committed to learning and experimenting with new methodologies to advance conversational AI capabilities.
The Critical Tasks You will Perform
You will analyse large volumes of unstructured data to understand the business, the product, and user pain points.
You will design, develop, and train advanced machine learning models tailored for conversational AI.
You will develop and refine solutions for tasks such as intent recognition, sentiment analysis, information extraction, and dialogue management.
You will perform rigorous model evaluation and A / B testing, deploying models in split environments to measure their real-world performance.
You will collaborate with cross-functional teams to integrate the models and enhance the product experience.
You will stay updated on the latest advancements in the field and experiment with innovative approaches to test their effectiveness.
What Essential Skills You will Need
You have a Degree in Computer Science or related fields, with at least 3 years of relevant experience.
You are proficient in analysing large datasets to obtain actionable insights.
You have expertise in designing and training machine learning models, with fundamentals in NLP algorithms and mathematics, including familiarities with deep learning frameworks (e.g., PyTorch) and algorithms (CNN / RNN, BERT, seq2seq models).
You are experienced in using LLMs in NLP tasks and other applications. Familiar with application patterns such as RAG.
You have experience developing solutions for tasks like intent recognition, sentiment analysis, information extraction, and dialogue management.
You have experience in model evaluation and A / B testing techniques to assess model performance in real-world scenarios.
You are proficient in statistical programming languages such as Python, with familiarity in RDBMS like PostgreSQL or MySQL.
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer :
We have your back with Term Life Insurance and comprehensive Medical Insurance .
With GrabFlex , create a benefits package that suits your needs and aspirations.
Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
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Question	Topic	Difficulty	Ask Chance
Friendship Timeline	Python & General Programming	Hard	Very High
Rain in N Days	Probability	Hard	Very High
Blogging Platform Schema	Data Modeling	Hard	High

Grab Research Scientist Interview Guide

Overview

Grab Research Scientist Interview Process

Grab Research Scientist Interview Questions

Grab Research Scientist Jobs