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You’re given a table that represents search results from searches on Facebook. The <code>query</code> column is the search term, <code>position</code> column represents each position the search result came in, and the <code>rating</code> column represents the human rating from 1 to 5 where 5 is high relevance and 1 is low relevance.

Each row in the <code>search_events</code> table represents a single search with the <code>has_clicked</code> column representing if a user clicked on a result or not. We have a hypothesis that the CTR is dependent on the search result rating.

Write a query to return data to support or disprove this hypothesis.

Example:

Input:

<code>search_results</code> table

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

<tbody>
<tr>
<td><code>query</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>result_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>position</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>rating</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>search_events</code> table

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

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

<tr>
<td><code>query</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>has_clicked</code></td>
<td>BOOLEAN</td>
</tr>
</tbody>
</table>

We have a hypothesis that the CTR is dependent on the search result rating. Write a query to return data to support or disprove this hypothesis.

Search CTR

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

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?

Step Salaries by Position

Gen Z is the generation of the side hustle. They're creators. They're freelancers. They're investors. And they're not afraid to take on challenges, especially when it comes to their finances - and we're here for it. Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. We're on a mission to improve the financial future of the next generation by empowering teens to start their financial journey today. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting the banking industry through a differentiated mobile-first consumer experience. People love our product. We eclipsed over 5.5M million customers, and if you're looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you! The Role Step is looking for an experienced Senior Mobile Software Engineer. As part of the team you'll be at the forefront of developing new user-facing features and helping us deliver our first product to the public. We are building a cross platform app using React Native + Mobx, so React Native experience is a plus but not required. Responsibilities <ul><li>Own features throughout their life cycle, from inception to production</li><li>Prioritize maintainable code and test all the things</li><li>Work in a small, tight knit cross-functional team</li><li>Be part of a high energy, fun, world class engineering team</li><li>See your contributions make a weekly impact to an evolving product</li></ul>Qualifications <ul><li>BA/BS degree in Computer Science or a related technical field</li><li>5+ years relevant work experience</li><li>Strong Computer Science fundamentals</li><li>Passion for software quality</li><li>Proven track record of delivering mobile apps </li></ul>Nice to haves <ul><li>Expert in React Native</li><li>Typescript proficiency</li><li>Native Android and/or iOS development experience.</li></ul>Core technologies we use <ul><li>React Native</li><li>Typescript</li><li>MobX</li><li>Swagger</li></ul> Working at Step <ul><li>Competitive salary based on experience, with full medical and dental benefits </li><li>High potential for growth </li><li>Stock in an early-stage startup </li><li>Flexible WFH and vacation policy </li><li>Paid parental Leave </li><li>Employee referral program </li><li>401K plan </li></ul>

Gen Z is the generation of the side hustle. They're creators. They're freelancers. They're investors. And they're not afraid to take on challenges, especially when it comes to their finances - and we're here for it. Step is a next-generation financial services company building a better banking experience to help teens and young adults achieve financial independence and knowledge at an earlier age. We're on a mission to improve the financial future of the next generation by empowering teens to start their financial journey today. Step is a well-funded Series C company that has raised more than $175M, focused on disrupting the banking industry through a differentiated mobile-first consumer experience. People love our product. We eclipsed over 5.5M million customers, and if you're looking to join a fast-growing company with a strong mission and vision that puts people first, we want to meet you! The role Step is looking for an experienced Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud. What you'll do <ul><li>Build and Deploy ML Models: You'll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.</li><li>Lead Technical Efforts: You'll take the lead in the Risk/Fraud area, providing technical direction and helping shape team's strategy.</li><li>Data Manipulation: You'll use SQL to efficiently fetch, transform, and manipulate data, ensuring it's ready for model development.</li><li>Code Development: You'll write production-grade code to deliver robust machine learning solutions.</li><li>Design Experiments: You'll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.</li><li>Cross-Function Partnership: Parter with Operations Team to quickly respond to rapidly evolving events.</li></ul>What we're looking for <ul><li>5+ years experience in Data Science or ML Engineering</li><li>A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field.</li><li>Proficiency in SQL and Python</li><li>Ability to communicate clearly with both technical and non-technical audiences.</li><li>Excellent data analysis skills.</li><li>Experience developing and deploying machine learning models.</li><li>Experience, but not required, in working in financial systems, including lending or risk/fraud.</li></ul> Working at Step <ul><li>Competitive salary based on experience, with full medical and dental benefits </li><li>High potential for growth </li><li>Stock in an early-stage startup </li><li>Flexible WFH and vacation policy </li><li>Paid parental Leave </li><li>Employee referral program </li><li>401K plan </li></ul>

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