Prepare for and practice interview questions from Taskrabbit.

Taskrabbit Interview Questions

<p>taskrabbit is revolutionizing how work gets done - for our taskers, our clients and importantly, our employees. we were founded back in 2008 and are one of the pioneers of the sharing economy. since then, we've been building a peer-to-peer marketplace that safely and reliably connects neighbors to get things done.</p>

taskrabbit is revolutionizing how work gets done - for our taskers, our clients and importantly, our employees. we were founded back in 2008 and are one of the pioneers of the sharing economy. since then, we've been building a peer-to-peer marketplace that safely and reliably connects neighbors to get things done.

Overview

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Taskrabbit Interview Guides

<p>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.</p>

<p>What factors could have biased this result, and what would you look into?</p>


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

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?

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

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

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

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

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

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

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

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

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

<p><code>attribution</code> table</p>

<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>
<p><code>user_sessions</code> table</p>

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

<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

Taskrabbit Salaries by Position

<h3>Job Description</h3><div>Job Description<div><div><strong>About Taskrabbit:</strong><p>Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.</p><p>At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.</p><p>Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!</p></div><p><strong>This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening January 2026).</strong></p><strong>About the Role</strong><p>Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work.</p><p>As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production.</p><strong>What You'll Work On:</strong><ul><li><strong>Model Development & Research:</strong> Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery.</li><li><strong>End-to-End ML Lifecycle:</strong> Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring.</li><li><strong>Infrastructure & Scalability:</strong> Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes.</li><li><strong>Performance & Quality:</strong> Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation.</li><li><strong>Software Engineering Excellence:</strong> Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle.</li></ul><strong>Your Areas of Expertise:</strong><p>We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.</p><ul><li>BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.</li><li>3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.</li><li>Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP.</li><li>Solid software engineering skills with proficiency in one or more programming languages, including Python.​​ The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.</li><li>Proficiency in SQL is also required for writing complex queries and transforming data.</li><li>Experience building REST API-based services.</li><li>Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes. </li><li>Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data.</li><li>Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines.</li><li>Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.</li><li>A passion for quickly learning new technologies and a drive to solve challenging problems.</li></ul><strong>Compensation & Benefits: </strong><p>At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.</p><p>The base pay range for this position is <strong>$148,000 - $200,000</strong>. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.</p><div><strong>You'll love working here because:</strong><ul><li><strong>Taskrabbit is a Hybrid Company.</strong> We value flexibility and choice but also stay committed to regular in-person connection.</li><li><strong>The People.</strong> You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!</li><li><strong>The Diverse Culture.</strong> We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.</li><li><strong>The Perks.</strong> Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. <strong>Benefits vary by country of employment. </strong></li></ul><strong>Taskrabbit's commitment to Diversity and Inclusion:</strong><p>An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.</p><p>Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. </p><p>Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. </p><p><strong>Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.</strong></p></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><strong>About Taskrabbit:</strong><p>Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.</p><p>At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.</p><p>Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!</p></div><p><strong>This role is a two days a week in office, hybrid role that can sit in either our San Francisco office or our New York City office (Opening January 2026!)</strong></p><p></p>About the Role<p>Data Science plays a crucial role in driving impact at Taskrabbit. As a member of the team, you will help drive our business strategy forward through predictive insights. We are seeking a highly skilled and motivated Senior Data Scientist to join us, working closely with cross-functional teams from product, engineering, marketing and operations to provide data-driven insights and solutions that enhance our products and accelerate growth. </p>What you will work on<ul><li>Be a strategic thought partner with stakeholders from product, marketing, and operations to define high-impact analytical problems, and solve them using different analytical and statistical approaches. Present actionable insights in a clear and compelling manner.</li><li>Proactively perform analytical deep dives to identify strategic growth opportunities in key business levers, e.g. customer/partner acquisition, retention, conversion, etc.</li><li>Collaborate with stakeholders to define and measure success metrics for new features and products, conduct advanced experimentation and causal inference to optimize product features and user experiences</li><li>Foster a data-driven culture within the organization by advocating for best practices in data analysis and interpretation.</li></ul>Who you are<ul><li>BS, MS or Ph.D. in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or related field).</li><li>A minimum of 5 years industry experience in data science; previous experience in a marketplace business is a plus</li><li>Experience with advanced experimentation and statistical modeling</li><li>Excellent analytical and problem-solving skills.</li><li>Excellent business acumen and strategic thinking skills</li><li>Advanced in SQL, experienced in Python, and familiar with data pipeline tooling (e.g. dbt) and git.</li><li>A self-starter with the ability to work independently and drive your own projects end-to-end with a track record of landing strong business impact</li><li>Ability to communicate complex data findings in a clear and concise manner.</li></ul><strong>Compensation & Benefits</strong><p>At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. total compensation consists of base pay + bonus + benefits + perks.</p><p>The base pay range for this position is $115,000 - $160,000. This range is representative of base pay only and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.</p><div><strong>You'll love working here because:</strong><ul><li><strong>Taskrabbit is a Hybrid Company.</strong> We value flexibility and choice but also stay committed to regular in-person connection.</li><li><strong>The People.</strong> You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!</li><li><strong>The Diverse Culture.</strong> We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.</li><li><strong>The Perks.</strong> Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. <strong>Benefits vary by country of employment. </strong></li></ul><strong>Taskrabbit's commitment to Diversity and Inclusion:</strong><p>An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.</p><p>Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. </p><p>Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. </p><p><strong>Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.</strong></p></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><strong>About Taskrabbit:</strong><p>Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.</p><p>At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.</p><p>Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!</p></div><p><strong>This role is Hybrid, with the expectation that employees will begin working 2 days per week in our dedicated office space in either San Francisco or in New York City. </strong></p><strong>About the Role</strong><p>We are seeking a Staff Data Engineer to architect and lead our entire data infrastructure strategy—a rare opportunity to be the most senior data technical leader shaping how data flows through our organization. In this role, you won't just build systems; you'll define the vision, set the technical direction, and establish the standards that will guide our data practice for years to come.</p><p><strong>Why This Role is Different</strong></p><p>As our most senior data engineer reporting directly to the Director of Data Engineering, you'll have unusual breadth and influence to:</p><ul><li><strong>Shape the Entire Data Stack</strong>: From ingestion to analytics, you'll touch every part of the data lifecycle and make foundational decisions that impact the entire business</li><li><strong>Be a Strategic Partne</strong>r: Work directly with leadership and stakeholders across the organization to translate business strategy into data capabilities—your voice will carry weight in company-level decisions</li><li><strong>Build Your Legacy</strong>: Establish the patterns, practices, and culture that will define how we work with data. Your architectural choices and mentorship will shape the team's future</li><li><strong>Wear Multiple Hats</strong>: Dive deep into technical challenges one day, mentor engineers the next, and present strategy to executives the third—the variety keeps the work engaging and your skills sharp</li></ul><p>The ideal candidate has deep expertise with modern data platforms (dbt, Airflow, Snowflake or equivalents), strong data modeling and orchestration skills, and a track record of building production systems that scale. Just as importantly, you're an exceptional communicator who can engage technical and non-technical stakeholders alike, you thrive on ownership and cross-functional collaboration, and you're energized by the opportunity to continue building out data architecture.</p><strong>What You'll Work On:</strong><ul><li>Design, build, and maintain scalable, reliable data pipelines and infrastructure to support analytics, operations, and product use cases</li><li>Develop and evolve dbt models, semantic layers, and data marts that enable trustworthy, self-serve analytics across the business</li><li>Collaborate with non-technical stakeholders to deeply understand their business needs and translate them into well-defined metrics and analytical tools</li><li>Lead architectural decisions for our data platform, ensuring it is performant, maintainable, and aligned with future growth</li><li>Build and maintain data orchestration and transformation workflows using tools like Airflow, dbt, and Snowflake (or equivalent)</li><li>Champion data quality, documentation, and observability to ensure high trust in data across the organization</li><li>Mentor and guide other engineers and analysts, promoting best practices in both data engineering and analytics engineering disciplines</li></ul><strong>Role Requirements:</strong><ul><li>7-10 years of experience in Data Engineering</li><li>Expertise in building and maintaining ELT data pipelines using modern tools such as dbt, Airflow, and Fivetran</li><li>Deep experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift</li><li>Strong data modeling skills (e.g., dimensional modeling, star/snowflake schemas) to support both operational and analytical workloads</li><li>Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or Scala)</li><li>Experience with streaming data platforms (e.g., Kafka, Kinesis, or equivalent) and real-time data processing patterns</li><li>Familiarity with infrastructure-as-code tools like Terraform and DevOps practices for managing data platform components</li><li>Hands-on experience with BI and semantic layer tools such as Looker, Mode, Tableau, or equivalent</li></ul><strong>Compensation & Benefits: </strong><p>At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. total compensation consists of base pay + bonus + benefits + perks.</p><p>The base pay range for this position is $143,000 - $204,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.</p><div><strong>You'll love working here because:</strong><ul><li><strong>Taskrabbit is a Hybrid Company.</strong> We value flexibility and choice but also stay committed to regular in-person connection.</li><li><strong>The People.</strong> You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!</li><li><strong>The Diverse Culture.</strong> We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.</li><li><strong>The Perks.</strong> Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. <strong>Benefits vary by country of employment. </strong></li></ul><strong>Taskrabbit's commitment to Diversity and Inclusion:</strong><p>An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.</p><p>Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. </p><p>Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. </p><p><strong>Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.</strong></p></div></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

Taskrabbit Interview Questions

Overview

Taskrabbit Interview Guides

Taskrabbit Interview Questions

Taskrabbit Salaries by Position

Taskrabbit Opening Jobs