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

Shopify Research Scientist Interview Guide

Getting ready for an Research Scientist interview at Shopify? The Shopify Research Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Shopify Research Scientist roles.</li>
<li>Gain insights into the Research Scientist interview process at Shopify.</li>
<li>Practice real Shopify 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 Shopify Research Scientist interview.


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

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

Shopify Research Scientist Interview Process

Given a list of strings of letters from <code>a</code> to <code>z</code>, create a function, <code>sum_alphabet</code>, that returns a list of the alphabet sum of each word in the string.

The alphabet sum is the sum of the ordinal position of each of the string’s letters in the standard English alphabet ordering. So, the letter <code>a</code> will have a value of <code>1</code>, <code>z</code> will have a value of <code>26</code>, and so on.

As an example of the alphabet sum of a string, the string <code>sport</code> will have an <code>alphabet sum of 19 + 16 + 15 + 18 + 20 = 88</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>words = [&#34;sport&#34; , &#34;good&#34; , &#34;bad&#34;]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def sum_alphabet(words) -&gt; [88 , 41 , 7]
</code></pre>

Alphabet Sum

Python & General Programming

Let’s say that you’re a data scientist working on the marketing team of a B2B SAAS business.

We’re nearing the end of the quarter and are missing revenue expectations by 10%. An executive asks the email marketing person to send out a huge email blast to your entire customer list asking them to buy more products.

Is this a good idea? Why or why not?

Let’s say you work at a B2B (Business-to-Business) SaaS (software as a subscription) company.

If you are going to send out an “email blast” advertising new promotions, which of the following should you do beforehand?

Let's say you work at a B2B (Business-to-Business) SaaS (software as a subscription) company.

If you are going to send out an "email blast" advertising new promotions, which of the following should you do beforehand?

Negative Email Blast

We’re nearing the end of the quarter and are missing revenue expectations by 10%. An executive asks the email marketing person to send out a huge email blast to your entire customer list asking them to buy more products.  Is this a good idea? Why or why not?

Email Blast

Marketing

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. 

Question	Topic	Difficulty	Ask Chance
Alphabet Sum	Python & General Programming	Easy	Very High
Email Blast	Marketing	Easy	Medium
Friendship Timeline	Python & General Programming	Hard	Low

Shopify Research Scientist Interview Guide

Overview

Shopify Research Scientist Interview Process

Shopify Research Scientist Interview Questions