The Gusto Data Scientist interview guide, interview questions, salary data, and interview experiences.

Gusto Data Scientist Interview Guide

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


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

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

Overview

Gusto Data Scientist Salary

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

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

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

Gusto Data Scientist Interview Process

<p>Let’s say you’re working in HR at a major tech company, and they ask you to find employees with a high probability of leaving the company. They tell you these employees perform well but have the lowest pay.</p>

<p>Given two tables, <code>employees</code>  and <code>projects</code>, find the five lowest-paid employees who have completed at least three projects.</p>

<p>Note: We consider projects to be completed when they have an end date, which is the same as saying their <code>End_dt</code> is not <code>NULL</code>.</p>

<p><strong>Example:</strong></p>

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

<p><code>employees</code> table</p>

<table>
<thead>
<tr>
<th>id</th>
<th>salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<p><code>projects</code> table</p>

<table>
<thead>
<tr>
<th>employee_id</th>
<th>project_id</th>
<th>Start_dt</th>
<th>End_dt</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>INTEGER</td>
<td>DATETIME</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
<p><strong>Output:</strong></p>

<table>
<thead>
<tr>
<th>employee_id</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
</tr>
</tbody>
</table>


Find the five employees with the hightest probability of leaving the company

Top 5 Turnover Risk

<p>Let’s say that you’re working on a job recommendation engine. You have access to all user Linkedin profiles, a list of jobs each user applied to, and answers to questions that the user filled in about their job search.</p>

<p>Using this information, how would you build a job recommendation feed?</p>


<p>What problem can arise in job recommendation systems with regard to initial recommendations?</p>

What problem can arise in job recommendation systems with regard to initial recommendations?

Job Recommendation

<p>How would you build the recommendation algorithm for type-ahead search for Netflix?</p>


Type-ahead Search

Gusto Data Scientist Interview Questions

<p><strong>About Gusto</strong> </p><p>Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide. </p><p>Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. Thats why were committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.  </p> <p>Gusto is looking for a Senior to Staff Machine Learning Engineer to join our ML/AI Platform and build out our Generative AI infrastructure. </p><h5>About The Role </h5><p>Were just starting out on this journey with Generative AI and looking to build the founding ML/AI team that will bring the power of AI to Gustos customers. Youll be working alongside a multidisciplinary group of Product Engineers, PMs, and Applied ML data scientists. In this role, youll be responsible for making design decisions around our AI infrastructure, building standard model development and deployment workflows,  and design systems that enable rapid iteration with LLMs. </p><p><strong>Heres what youll do day-to-day:</strong> </p><ul> <li>Develop, maintain, and enhance reusable frameworks for ML/AI model development and deployment. Drive best practices in machine learning engineering and MLOps </li><li>Establish standards and infrastructure for on-going monitoring and evaluation of AI applications in production </li><li>Develop and maintain systems that enable rapid iteration and evaluation of LLM prompts and other tuning mechanisms </li><li>Design and build reliable, performant, maintainable and secure pipelines that can scale to the needs of our business while reducing costs </li><li>Collaborate with the AI model builders and application owners to determine business requirements and SLAs for API-enabled services </li><li>Help design and architect an AI platform that adheres to the principles of Responsible AI </li><li>Balance researching new technologies with a practical approach to operationalizing research efforts into Gusto products </li><li>Maintain relationships with external data and analytics vendors </li></ul> <p><strong>Heres what we're looking for:</strong> </p><ul> <li>At least 4+ years of software engineering experience (Python, Ruby or Java). </li><li>Demonstrated experience architecting and developing services for machine learning models. </li><li>Experience with at least one of the major cloud platforms (AWS preferred but not required). </li><li>Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or similar. </li><li>[Bonus] Experience deploying and maintaining LLM-based applications in production. </li></ul> <p>Our cash compensation amount for this role is targeted at $152,000-$214,000/year in Denver, Chicago, and Atlanta, $166,000-$234,000/year in Los Angeles and Seattle, and $185,000-$253,000/year for San Francisco and New York.</p> <p>Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately <strong>2-3 days </strong>per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. </p><p>Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. </p> <p>When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. </p> <p>Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.  </p><p>Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you require assistance in filling out a Gusto job application, please reach out to candidate-accommodations@gusto.com. </p>

Gusto Data Scientist Interview Guide

Overview

Gusto Data Scientist Salary

Gusto Data Scientist Interview Process

Gusto Data Scientist Interview Questions

Gusto Data Scientist Jobs