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Rockstar Games Interview Questions

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<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?

Statistics

<p>Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.</p>

<p>The company has been consistently growing new users in the city from January to March.</p>

<p>What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?</p>


<p>What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?</p>

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Product Sense & Metrics

<p>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.</p>

<p>How would you assess the validity of the result?</p>


Experiment Validity

A/B Testing

Rockstar Games Salaries by Position

<p>Rockstar is on the lookout for a passionate Senior Data Scientist of Marketing who possesses a passion for videogames and creating valuable insights from a variety of data sources. This is a full-time, in-office position based out of Rockstars NYC h Data Scientist, Marketing, Scientist, Senior, Technology, Data, Analytics</p>

<div><h2>Senior Data Engineer</h2><p>At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.</p><p>Rockstar is seeking a Senior Data Engineer to join a team building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience across our titles. The ideal candidate will be skilled in developing complex ingestions and transformation processes with an emphasis on reliability and performance. In collaboration with other Data Engineers, Machine Learning Engineers, and Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications across the company.</p><p>This is a full-time, in-office position based out of Rockstar's NYC headquarters in Downtown Manhattan.</p><h3>What We Do</h3><p>The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making. We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.</p><h3>Responsibilities</h3><ul><li>Design, build, and own real-time and batch data pipelines in Azure Databricks using Spark, Airflow, and modern orchestration and build tools.</li><li>Drive engineering excellence by implementing robust testing practices (unit, integration), code review standards, and CI/CD automation.</li><li>Architect Data Models for massive-scale MPP engines (Databricks/Spark, SQL, Snowflake) that balance performance, maintainability, and analytical flexibility.</li><li>Collaborate with Data Scientists, Analysts, and ML Engineers to gather requirements, understand use cases, and deliver reliable data products.</li><li>Identify and implement improvements to our data platform, pipelines, and development processes with autonomy to POC new approaches and technologies.</li><li>Mentor, elevate, and learn with the team by sharing insights, maintaining documentation, and establishing engineering best practices.</li><li>Own projects end-to-end, from gathering requirements and technical design through implementation, testing, and production support.</li></ul><h3>Requirements</h3><ul><li>5+ years of work experience with designing and development of modern data pipelines.</li><li>4+ years of experience with Python for data engineering (building maintainable, testable code) and Spark for large-scale data processing.</li><li>Strong software engineering fundamentals  design patterns, testing strategies (unit, integration) code review practices, system design thinking.</li><li>Expert-level SQL and deep understanding of query optimization, data structures, and performance tuning.</li><li>Track record of building and optimizing terabyte or petabyte-scale data warehouses.</li><li>Ability to work independently on loosely-defined projects  gathering requirements, making architectural decisions, and following through completion.</li><li>Experience building Real-Time and/or Near-Real-Time data pipelines.</li><li>Outstanding communication and interpersonal skills, including the ability to tailor communication style to technical and non-technical audiences.</li></ul><h3>Pluses</h3><p>Please note that these are desirable skills and are not required to apply for the position.</p><ul><li>Databricks platform experience (Delta Lake, Unity Catalog, Workflows).</li><li>Experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components.</li><li>Containerization and orchestration (Docker, Kubernetes).</li><li>Experience with Java or Scala.</li><li>Experience with CI/CD (TeamCity, Octopus).</li><li>RESTful API design, usage, and consumption.</li><li>Gaming industry experience or passion for games.</li><li>Experience in Machine Learning pipelines and popular libraries.</li></ul><h3>Additional Information</h3><p>Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.</p><p>Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.</p><p>If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.</p><p>*NY Base Pay Range</p><p>$121,400 - $161,800 USD</p></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Decreasing Comments	Product Sense & Metrics	Easy	Very High
Experiment Validity	A/B Testing	Medium	Very High

Rockstar Games Interview Questions

Rockstar Games Interview Guides

Rockstar Games Interview Questions

Rockstar Games Salaries by Position

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