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Kin Insurance Interview Questions

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A/B Testing

Experiment Validity

Delivery Estimate Model

A/B Test Power Size

Green Dot

Delivery Online

Product Sense & Metrics

Group Success

Instagram TV Success

Measure Facebook Stories success by tracking reach, engagement, and actions aligned with specific business goals

Facebook Story Success

Machine Learning

Spam Classifier 

Random Forest Explanation

Xgboost vs Random Forest

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Get the top 3 highest employee salaries by department

Top Three Salaries

Statistics

P-value to a Layman

Find a bound for how many people drink coffee AND tea based on a survey

Bounds for Coffee and Tea Drinkers

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Behavioral

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

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

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

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</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>
Output:

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

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

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

Let’s say we want to build a new delivery time estimate model for consumers ordering food delivery.

How would you determine if the new model predicts delivery times better than the old model?

When rolling out a new delivery time estimate model in production, what is an important consideration?

When rolling out a new delivery time estimate model in production, what is an important consideration?

Delivery Estimate Model I

What is one way to measure the performance of a new delivery time estimate model for food delivery?

What is one way to measure the performance of a new delivery time estimate model for food delivery?

Delivery Estimate Model II

How would you measure the success of Facebook Groups?

Considering the purpose of Facebook Groups as a platform for connecting users through shared interests or real-life relationships, which metrics would be appropriate to measure the success of these groups?

Considering the purpose of Facebook Groups as a platform for connecting users through shared interests or real-life relationships, which metrics would be appropriate to measure the success of these groups?

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.

How would you assess the validity of the result?

Let’s say you’re a Product Data Scientist at Instagram. How would you measure the success of the Instagram TV product?

What is the primary goal of Instagram TV as a product feature?

What is the primary goal of Instagram TV as a product feature?

Let’s say you’re a data scientist at LinkedIn where you’re working on a product that sends qualified job candidates to companies. The team has launched a new feature that allows candidates to message hiring managers at companies directly during the interview process to get updates on their status.

Due to engineering constraints, the company can’t AB test the feature before launching it.

How would you analyze how the feature is performing?

How would you analyze how the feature is performing?

Recruiting Leads

Analytics

Given the <code>employees</code> and <code>departments</code> table, write a query to get the top 3 highest employee salaries by department. If the department contains less that 3 employees, the top 2 or the top 1 highest salaries should be listed (assume that each department has at least 1 employee). 

Note: The output should include the full name of the employee in one column, the department name, and the salary. The output should be sorted by department name in ascending order and salary in descending order. 

Example:

Input:

<code>employees</code> table

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

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

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</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>
Output:

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

<tbody>
<tr>
<td><code>employee_nam</code>e</td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>department_name</code></td>
<td>VARCHAR</td>
</tr>

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

Let’s say you’re analyzing an AB test that has both a test group and a control group.

<ol>
<li>How do you calculate the sample size necessary for an accurate measurement?</li>

<li>Let’s say that the sample size is similar and sufficient between the two groups. In order to measure very small differences between the two, should the power get bigger or smaller?</li>
</ol>

Let’s say we’re working on a new feature for LinkedIn chat. We want to implement a green dot to show an “active user” but given engineering constraints, we can’t AB test it before release.

How would you analyze the effectiveness of this new feature?

Let’s say we want to build a new algorithm for Lyft Line.

How should we test it, measure success of the test, and eventually roll it out?

Building Lyft Line

How would you measure success for Facebook Stories?

Let’s say you are tasked with building a spam classifier for emails. Assume that you’ve built a V1 of the model.

What metrics would you use to track accuracy and validity of the model?

Three zebras are chilling in the desert. Suddenly a lion attacks.
Each zebra is sitting on a corner of a triangle with sides of equal length.
Each zebra randomly picks a direction and only runs along the outline of the triangle to either edge of the triangle.

What is the probability that none of the zebras collide?

Three zebras are chilling in the desert. Suddenly a lion attacks.

Each zebra is sitting on a corner of a triangle with side of equal length. Each zebra randomly picks a direction and only runs along the outline of the triangle to either edge of the triangle.

What is the probability that none of the zebras collide?

Three zebras are chilling in the desert. Suddenly a lion attacks.

Each zebra is sitting on a corner of a triangle with side of equal length.  Each zebra randomly picks a direction and only runs along the outline of the triangle to either edge of the triangle.

What is the probability that none of the zebras collide?



Three Zebras

Brainteasers

Let’s say we’re building a new feature that tells dashers when they should go online or not in order to meet delivery demand. 

How would you test whether the feature was working successfully?

Write a function <code>data_stream_median</code> to calculate the new median from a stream of ordered integers and the new element which is not yet inserted into the stream.

The median is the middle value in an ordered integer list. If the size of the list is even, there is no middle value, so the median is the mean of the two middle values.

Example:

<pre tabindex="0" class="chroma"><code>new_value = 2
stream = [1, 2, 3, 4, 5, 6]
def data_stream_median(new_value, stream): -&gt; 3
</code></pre>

Write a function data_stream_median to calculate the median from a stream of integers.

Data Stream Median

Data Structures & Algorithms

How would you decide whether or not to create a product, like a job board, for Facebook?

Imagine Facebook is creating a job board. How would you design an A/B test to evaluate its effectiveness?

Assessing the market potential and then use A/B testing to measure its effectiveness against user behavior

Facebook Job Board Design

Let’s say that you work for an E-commerce store. A new marketing manager joins the company and redesigns the existing new-user email journey to try and boost customer conversion rates. A few weeks after launching the new email journey, the new-user to customer conversion rate goes up from 40% to 43%.

Before you can celebrate, the company’s CMO points out a troubling fact. Just a few months prior to the new manager starting the conversion rate already stood at 45%, before slowly dropping down to the “starting” 40%.

How would you investigate if the redesigned email campaign actually led to the increase in the conversion rate, and that the increase wasn’t instead the result of other factors?

What would be an appropriate method to investigate whether the redesigned email campaign led to an increase in the conversion rate of an E-commerce store, in the absence of infrastructure for an AB test?

What would be an appropriate method to investigate whether the redesigned email campaign led to an increase in the conversion rate of an E-commerce store, in the absence of infrastructure for an AB test?

Causal Email Journey

How would you find out if an increase in user conversion rates after a new email journey is casual or just part of a wider trend?

Causal Email Journey 

A survey asked 100 respondents two questions:

<ol>
<li>Do you like tea?</li>
<li>Do you like coffee?</li>
</ol>

70% of respondents said they liked coffee, and 80% of the respondents said they liked tea. Only 10% of respondents said they liked neither.

Based on this survey, what are the upper and lower bounds for the proportion of the population that like tea and coffee?

Given that 70% of people like dogs, 60% like cats, and only 10% dislike both, what is the proportion of people who like both dogs and cats?

Given that 70% of people like dogs, 60% like cats, and only 10% dislike both, what is the proportion of people who like both dogs and cats?

Bounds for Coffee and Tea Drinkers I

In a survey with 100 respondents, 80% like reading, 70% enjoy sports, and 10% dislike both. Using a 95% confidence interval, what are the lower and upper bounds of the proportion of respondents who like both reading and sports?

In a survey with 100 respondents, 80% like reading, 70% enjoy sports, and 10% dislike both. Using a 95% confidence interval, what are the lower and upper bounds of the proportion of respondents who like both reading and sports?

Bounds for Coffee and Tea Drinkers II

Challenge

<div><h2>Senior Pricing And Risk Analyst</h2>Kin is redesigning insurance to be smarter, faster, and centered on the customer. We use intelligent pricing, offer seamless bundling, and make every step (from purchasing, servicing to claims) simple and friction-free, especially in the places traditional insurers often ignore.We empower people to protect what matters most, starting with their homes and expanding to all they value, in a world where climate risks, rising costs, and outdated systems leave too many behind. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to:<ul><li>Built In Chicago's Best Places to Work, Midsize Companies (2021-2025).</li><li>Forbes' America's Best Startup Employers (2021-2024, Ranked #37 in 2024).</li><li>Inc. 5000 Fastest-Growing Private Companies.</li><li>Forbes' Fintech 50.</li></ul>Simply put, our people are what make us great we need forward-thinking, inspired game-changers like you to join us in our mission.The opportunityWe're looking for a Senior Pricing and Risk Analyst to help advance Kin's pricing sophistication and risk segmentation as the business scales. This role is designed for someone whose core analytical responsibilities have become second natureand who is ready to form opinions, share ideas, and influence how pricing decisions are made.You'll develop and maintain pricing models, analyze profitability and risk drivers, and partner closely with underwriting and product teams on rate filings and model enhancements. This role will place increased emphasis on competitive intelligence, market research, and the use of AI-enabled tools to enhance data analysis and decision-making.Your responsibilities<ul><li>Develop and maintain pricing and risk models with limited supervision, ensuring accuracy, transparency, and scalability</li><li>Analyze product profitability, loss trends, competitive positioning, and risk segmentation to inform pricing decisions</li><li>Conduct competitive intelligence analysis, including familiarity with tools such as InsureQuote and market benchmarking sources</li><li>Partner with underwriting and product teams on rate filings, state-specific pricing strategies, and ongoing model refinement Support state product research efforts, with a focus on Texas and other growth markets</li><li>Analyze and model catastrophic perils (e.g., wind, hail) and their impact on pricing, segmentation, and portfolio risk</li><li>Leverage AI tools and advanced analytics techniques to improve efficiency, deepen insights, and accelerate analysis</li><li>Explore new data sources and evaluate multiple inputs to strengthen analytical conclusions</li><li>Identify risks, inefficiencies, and improvement opportunities within pricing workflows</li><li>Develop templates, share best practices, and mentor junior analysts through collaboration and review</li></ul>Success in this role<ul><li>Pricing models and analyses are reliable, well-documented, and trusted by stakeholders</li><li>Competitive intelligence and market insights meaningfully influence pricing and product strategy</li><li>State-level research and catastrophe risk analysis improve decision-making in key markets like Texas</li><li>AI-enabled analysis drives faster, higher-quality insights without sacrificing rigor</li><li>Cross-functional partners proactively seek your input and perspective</li><li>Junior analysts benefit from your mentorship, templates, and knowledge sharing</li><li>Process improvements lead to more efficient, scalable analytical workflows</li></ul>What you'll bring<ul><li>3+ years of pricing, risk, actuarial, or advanced analytics experience in insurance or a related field</li><li>Experience developing and maintaining pricing or risk models in a production environment</li><li>Strong understanding of predictive modeling techniques, including GLMs and pricing segmentation</li><li>Experience with competitive analysis, market research tools, or platforms such as InsureQuote</li><li>Working knowledge of catastrophe risk concepts, including wind and hail exposure</li><li>Proficiency in Python or R and SQL (including complex joins)</li><li>Comfort using AI or advanced analytical tools to enhance data analysis and efficiency</li><li>Ability to synthesize insights from multiple data sources to support pricing decisions</li><li>Clear, proactive communication of assumptions, risks, and recommendations</li><li>Comfort receiving feedback, maintaining high quality standards, and continuously improving how work is done</li></ul>How we hireWe believe a great hiring experience should be clear, respectful, and human. We'll accept applications for this position until 04/13/2026. While our recruiting team uses AI tools for efficiency, resumes are still screened by Kin's in-house recruiters, and candidate evaluations and hiring decisions are made by recruiters and hiring teams. Rest assured, real people make real decisions.The hiring process and timeline for each role will vary, depending on the position. However, here are some things you can expect from us:<ul><li>Prompt updates and feedback following interviews</li><li>Interviews with recruiters, hiring managers, and members of teams</li><li>Skills assessment relevant to the position, if applicable</li><li>Genuine, thoughtful human interaction at every step</li></ul>How we support youWe offer a comprehensive, competitive benefits program, allowing you to choose the benefits that are best for you and your family, starting on the first day of the month following your start date.Core Benefits That Support You<ul><li>Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level</li><li>401(k) with company match up to 4% of eligible earnings</li><li>Multiple medical plan options, plus dental and vision coverage</li><li>Company-funded HSA contributions (based on medical plan selection)</li><li>Company-paid life insurance and short-term disability</li></ul>Health & Wellbeing<ul><li>Flexible PTO for exempt employees (most employees take 1520 days per year), plus 8 company-observed holidays</li><li>Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents</li><li>A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance</li><li>Access to mental health support and confidential counseling resources</li></ul>Growth & Development<ul><li>Career mobility and internal growth opportunities across the organization</li><li>Professional development budgets for certifications, conferences, and learning are available, subject to management approval</li></ul><h3>About Kin</h3>Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders.<h3>EEOC Statement</h3>Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference we honor it, nurture it, and celebrate it. We don't discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to careers@kin.com</div>

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

Kin Insurance Interview Questions

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Kin Insurance Interview Questions

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Discussion & Interview Experiences