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Spokeo Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

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?

The schema below is for a retail online shopping company consisting of two tables, <code>attribution</code> and <code>user_sessions</code>.

<ul>
<li>The attribution table logs a session visit for each row.</li>

<li>If <code>conversion</code> is <code>true</code>, then the user converted to buying on that session.</li>

<li>The <code>channel</code> column represents which advertising platform the user was attributed to for that specific session.</li>

<li>Lastly the <code>user_sessions</code> table maps many to one session visits back to one user.</li>
</ul>

First touch attribution is defined as the channel with which the converted user was associated when they first discovered the website.

Calculate the first touch attribution for each <code>user_id</code> that converted. 

Example:

Input:

<code>attribution</code> table

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

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

<tr>
<td><code>channel</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>conversion</code></td>
<td>BOOLEAN</td>
</tr>
</tbody>
</table>
<code>user_sessions</code> table

<table>
<thead>
<tr>
<th>column</th>
<th>type</th>
</tr>
</thead>

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

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Example output:

<table>
<thead>
<tr>
<th><code>user_id</code></th>
<th><code>channel</code></th>
</tr>
</thead>

<tbody>
<tr>
<td>123</td>
<td>facebook</td>
</tr>

<tr>
<td>145</td>
<td>google</td>
</tr>

<tr>
<td>153</td>
<td>facebook</td>
</tr>

<tr>
<td>172</td>
<td>organic</td>
</tr>

<tr>
<td>173</td>
<td>email</td>
</tr>
</tbody>
</table>

First Touch Attribution

<h3>Job Description</h3><div>Job Description<div>NOTE: You will only be contacted by a specific email or by persons whose email address is from the actual @spokeo.com email domain.About Spokeo:Join our mission to make the world more transparent with data.Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.Founded in 2006, we have grown to a company of nearly 200 dedicated employees, with flexible work locations and an average tenure of 5.3 years. Find out why we were named a “Best Company” by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang. About this OpportunityAs a Senior SEO Data Analyst, you will play a critical role in monitoring, analyzing, and improving our SEO performance. You’ll leverage Databricks, Google Analytics, Google Search Console, Tableau, seoClarity, and many other tools to uncover trends, diagnose issues, and develop recommendations that enhance Spokeo’s search presence and increase organic traffic to the website. You will collaborate cross-functionally with product, design, development, and data science teams to refine our SEO and GEO strategy and support broader acquisition growth efforts. This role is ideal for an SEO professional who is data-driven, technically adept, and eager to apply advanced analytical skills to search engine optimization. What You’ll Do:<ul><li>Analyze and optimize SEO performance using a variety of tools.</li><li>Research customer behavior in our data lake using PySpark on Databricks.</li><li>Develop SEO dashboards in Tableau and ensure accurate reporting.</li><li>Partner with cross-functional Scrum teams to test and improve SEO strategies.</li><li>Identify technical SEO opportunities and provide data-backed recommendations.</li><li>Stay ahead of SEO and GEO trends, algorithm updates, and competitor strategies.</li><li>Communicate insights clearly to business and executive stakeholders.</li></ul>Who You Are: <ul><li>5+ years of data analysis experience in a large-scale data-driven web business.</li><li>3+ years of experience with web analytics software such as Google Search Console, Google Analytics, etc. </li><li>3+ years of experience creating dashboards and reports in Tableau.</li><li>Proficiency in PySpark and SQL to extract and analyze data. </li><li>Excellent communication skills—able to turn complex data into clear insights.</li></ul><ul></ul>Highly Desired Skills:<ul><li>Experience with seoClarity or similar SERP research tools such as Ahrefs, SEMrush, or Screaming Frog.</li><li>Experience with Databricks, Jupyter Notebooks, or similar PySpark environments</li><li>Familiarity with keyword research, EEAT strategy, and similar content analysis </li></ul>Nice-to-Have Skills:<ul><li>Knowledge of technical SEO tools such as PageSpeed Insights, Lighthouse, APM, etc.</li></ul><ul></ul><ul></ul>Working at SpokeoSpokeo offers a bonus program, equity plans, and 401K. Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc. Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.#LI-Remote </div></div>

<h3>Job Description</h3><div>Job Description<div>About Spokeo:Join our mission to make the world more transparent with data.Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more.Founded in 2006, we have grown to a company of nearly 200 dedicated employees, with flexible work locations and an average tenure of 5.3 years. Find out why we were named a “Best Company” by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang. About this Opportunity:As Spokeo continues to grow, we are looking for an experienced Senior Technical Product Manager (Sr. TPM). You will collaborate with cross-functional Agile Scrum teams to deliver high-quality SaaS solutions in a timely manner, and that delight the customers. You will be responsible for creating, managing, and prioritizing the product backlog based on business objectives set by the customer and internal stakeholders.The ideal candidate must have demonstrated success in leading cross-functional teams to deliver effectively and on time. This candidate will also have worked as a software engineer, technical product architect, and or similarly technical role(s).This position reports to the SVP of Product Management. What You’ll Do: This includes an estimate (%) of where time will be spent, and is subject to change:<ul><li>45% - Lead a cross-functional Scrum team as Product Owner, owning the planning and prioritization of the backlog, monitoring key metrics, and driving efficient end-to-end product development from conception to launch; Collaborate with product, engineering, design, and analytics teams to implement new features, collect feedback and requirements, and gain deeper insights to drive the product's future</li><li>30% - Collaborate with Engineering on technical architectures, data flows, ERDs, and system designs</li><li>10% - Embrace the opportunity to challenge the norm and relentlessly pursue simple and elegant customer experiences</li><li>10% - Stay up-to-date with industry trends beyond Spokeo, align product teams and partners, and inspire leadership to support your product and business ideas</li><li>5% - Serve as a product evangelist, promoting alignment among leadership, cross-functional stakeholders, and the product team</li></ul> Who You Are: <ul><li>You have a Bachelor’s of Science degree in Computer Science, Engineering, or a related technical field</li><li>You have 5+ years of experience with product management and or product development</li><li>You have 3+ years of experience with software development</li><li>You are experienced at collaborating with cross-functional teams, engaging senior stakeholders, and using agile software development</li><li>You can create a well-planned roadmap by strategically breaking down projects into MVPs and subsequent phases, optimizing customer and business value with minimal effort</li><li>You have excellent written and verbal communication skills. Your clear and concise product specs inspire and motivate teams toward a bold vision</li><li>Experience with data related to public records, people, businesses, and/or properties is highly preferred</li><li>Experience with LLMs, RAG, agentic AI, and context engineering</li><li>Experience with MySQL, SQL is a must</li></ul> Working at Spokeo: Spokeo offers a bonus program, equity plans, and 401K. Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO. Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc. Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.#LI-Remote </div></div>

<h3>Job Description</h3><div>Job Description<div>About Spokeo:Join our mission to make the world more transparent with data.Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more. Founded in 2006, we have grown to a remote-first company of nearly 200 dedicated employees with an average tenure of 4.5 years. Find out why we were named a “Best Company” for 2023 by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang. About this OpportunityAs a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems such as ETL data, pipeline, storage, and entity resolution. This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3, DynamoDB, and more. This role will help build and improve data products, automation platform features, analytical software packages, and data pipeline orchestration tools.What You’ll Do:<ul><li>Build infrastructure and data automation pipelines for the ingestion, processing, and loading of data from various sources. Automate and integrate new components into the data pipeline.</li><li>Collaborate with stakeholders and data science teams to develop data products, including entity resolution and best selection, to efficiently execute product vision and strategy in alignment with organizational goals and priorities.</li><li>Collaborated with Data Scientists and ML Engineers to design, build, and maintain scalable data pipelines and infrastructure to support end-to-end machine learning workflows (development, training, deployment, and monitoring).</li><li>Create unit and stress test components to monitor technical performance and ensure identified issues are resolved.</li><li>Develop data analysis tools to provide data insights and capture key metrics.</li><li>Research solutions and maintain technical documentation.</li><li>Follow best practices for data governance, quality, cleansing, and other ETL-related activities.</li></ul>Who You Are:<ul><li>7+ years of development experience in data engineering within a production environment (internships and academic settings excluded).</li><li>Proven experience working with large datasets exceeding 100M+ records or multiple terabytes.</li><li>2+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS.</li><li>5+ years of hands-on programming experience with Python.</li><li>5+ years of professional experience working in big data ecosystems, Spark is required; PySpark is preferable.</li><li>3+ years of experience with SQL, schema design, and dimensional data modeling.</li><li>2+ years of professional experience working with dataflow orchestration tools, such as Airflow.</li><li>2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.).</li><li>A bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field is required.</li></ul> Working at Spokeo Spokeo offers a bonus program, equity plans, and 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO. Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc. Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policySpokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world. Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.#LI-Remote </div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
First Touch Attribution	SQL	Hard	Very High

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