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Compass Digital Labs Interview Questions

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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

Compass Digital Labs Salaries by Position

We are looking for a passionate Data Scientist/AI Engineer to join our team at Compass Digital. You will design, develop, and maintain cutting-edge data products and AI solutions, focusing on making difficult-to-access data sources available through web scraping and document scanning. Collaborating with Data Scientists, Analytics Engineers, Front-End Engineers, ML Engineers, and AI Engineers, you will build cloud-native backend systems and infrastructure for new AI-powered applications. Your work will lay the foundations for a new product delivering Data Analytics and AI capabilities. Now, if you were to come on board as our Data Scientist/AI Engineer, we’d ask you to do the following for us:<ul><li>Develop and maintain scalable AI applications from concept to deployment;</li><li>Collaborate with cross-functional teams to define, design, and ship new features;</li><li>Architect and implement efficient and reusable AI systems;</li><li>Write clean, well-documented, and maintainable code following best practices;</li><li>Conduct code reviews, provide constructive feedback and mentor junior team members;</li><li>Staying up-to-date with emerging AI technologies and industry trends to drive continuous improvement</li><li>Work in a dynamic, collaborative, progressive, and high-performing team</li><li>Interactions with multiple cross-functional teams, exposure to many components of modern data technology</li></ul> Think you have what it takes to be our AI Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:<ul><li>Bachelor's degree in a STEM field or equivalent experience</li><li>Strong experience with Large Language Models (LLMs)</li><li>2+ years of hands-on experience in developing AI and data products</li><li>Proficiency with the modern data science stack, including Python, NumPy, and pandas</li><li>Strong cloud engineering skills with experience taking AI ideas to production</li><li>Experience with both SQL and NoSQL database systems and data warehouses</li><li>Familiarity with RESTful APIs</li><li>Knowledge of version control systems such as Git and agile development methodologies</li><li>Excellent problem-solving skills, attention to detail, and ability to work independently or within a team</li><li>Excellent written and verbal communication skills, with the ability to convey complex concepts to non-technical users</li></ul>

Compass Digital Labs Interview Questions

Compass Digital Labs Interview Guides

Compass Digital Labs Interview Questions

Compass Digital Labs Salaries by Position

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