Prepare for and practice interview questions from Fusion health.

Fusion health Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Fusion health 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>In an A/B test, how can you check if assignment to the various buckets was truly random?</p>


<p>In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?</p>

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

<h3>Job Description</h3><div>Job Description<div><div><div><div><div><div><div></div></div></div></div></div></div><p>The Data Engineer will support our analytics and data science teams, as well as external client data needs. This role involves writing and optimizing complex SQL queries, generating client-specific data extracts, and building scalable ETL pipelines using Azure Data Factory. The ideal candidate will have a strong foundation in data engineering, with a collaborative mindset and the ability to work across teams and systems.</p><p></p><p><span class="long-word">Duties/Responsibilities:</span></p><div><ul><li>Develop and optimize complex SQL queries to support internal analytics and external client data requests.</li><li>Generate custom data lists and extracts based on client specifications and business rules.</li><li>Design, build, and maintain efficient ETL pipelines using Azure Data Factory.</li><li>Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.</li><li>Work with Salesforce data; familiarity with SOQL is preferred but not required.</li><li>Support Power BI reporting through basic data modeling and integration.</li><li>Assist in implementing MLOps practices for model deployment and monitoring.</li><li>Use Python for data manipulation, automation, and integration tasks.</li><li>Ensure data quality, consistency, and security across all workflows and systems. </li></ul></div><p>Required <span class="long-word">Skills/Abilities/Attributes:</span></p><ul><li>5+ years of experience in data engineering or a related field.</li><li>Strong proficiency in SQL, including query optimization and performance tuning.</li><li>Experience with Azure Data Factory, with git repository and pipeline deployment.</li><li>Ability to translate client requirements into accurate and timely data outputs.</li><li>Working knowledge of Python for data-related tasks.</li><li>Strong problem-solving skills and ability to work independently.</li><li>Excellent communication and documentation skills.</li></ul><p>Preferred Skills/Experience</p><ul><li>Previous knowledge of building pipelines for ML models.</li><li>Extensive experience creating/managing stored procedures and functions in MS SQL Server</li><li>2+ years of experience in cloud architecture (Azure, AWS, etc)</li><li>Experience with ‘code management’ systems (Azure Devops)</li><li>2+ years of reporting design and management (PowerBI Preferred)</li><li>Ability to influence others through the articulation of ideas, concepts, benefits, etc.</li></ul><p>Education and Experience:</p><ul><li>Bachelor’s degree in a computer science field or applicable business experience</li><li>Minimum 3 years of experience in a Data Engineering role</li><li>Healthcare experience preferred</li></ul><p>Physical Requirements:</p><ul><li>Prolonged periods sitting at a desk and working on a computer.</li><li>Ability to lift 20 lbs.</li></ul><p></p><p><em>Individuals seeking employment at Fusion Health are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law.</em></p><p></p><p></p><div></div><div><p><br /></p></div></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

Fusion health Interview Questions

Fusion health Interview Guides

Fusion health Interview Questions

Fusion health Opening Jobs