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Human security Interview Questions

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<p>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.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


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

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?

<p>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.</p>

<p>Write a query to randomly sample a row from this table.</p>

<p><strong>Input:</strong></p>

<p><code>big_table</code> table</p>

<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

Human security Salaries by Position

<p>HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms.
Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life.
The Enterprise Research team at HUMAN is dedicated to protecting the internet by disrupting the economics of cybercrime. Our team of Data Scientists research and develop algorithms to detect bots and fight fraud. We use statistical and machine learning techniques, in both offline and real-time infrastructures, to provide our customers with proactive security and insights into their attacks.
We’re looking for a Data Scientist to join our team to support the full-cycle of fraud fighting: from the early stages of gathering business requirements and exploratory research to the development and deployment in production of statistical detection techniques. This role is at the intersection of data, technology, and business as we aspire to deeply understand how actors are perpetrating schemes and develop a powerful product to delight our customers.
What you'll do: Partner with Product, Engineering, and Analysts to support our business goals in improving bot detection, building out competitive product features, and optimizing our data and ML infrastructure.
Research and experiment with the latest detection frameworks in cyber security and fraud, statistical techniques, and ML tooling.
Support the growth of best practices and Data Science standards in detection and modeling.
Lead large scale projects and drive change that impacts not just yourself, but the Data Scientists and analysts around you and across our Business Units.
Contribute to our growing DS toolsets, that ‘creating tau’ (disproportionate leverage) by accelerating our team’s ability to find fraud, automating cumbersome tasks, and creating novel methodologies.
Who you are: You have experience solving large-scale, data-intensive problems in production systems (we process trillions of events per day, so literacy with large datasets is a must!).
You can explain the nuances of different statistical modeling approaches and make informed decisions on which to use, whilst also having the engineering awareness of the realities of shipping working code to customers.
You have the ability to think 3 steps ahead in designing a data driven product, bring clarity to problems with ambiguity, and bring simplicity to problems with complexity.
You are proficient with Python and SQL and familiar with related tools, libraries and platforms. You are fluent in Object Oriented development and have strong debugging skills.
You have a good sense of ownership which drives you to find ways to do things better, faster, and leaner; you hold yourself accountable for the quality and accuracy of your work.
You have experience working on cross-functional projects, with multiple stakeholders - both technical and non-technical; and following SDLC best practices: project management, version control, unit testing, and CI/CD.
The base pay range for this position is $165,000- $205,000 which can include additional on-target bonus and/or incentives. The base pay offered may vary depending on location, job related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered.
HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together!

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Human security Interview Questions

Human security Interview Guides

Human security Interview Questions

Human security Salaries by Position

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