Prepare for and practice interview questions from Swish Analytics.

Swish Analytics Interview Questions

Swish Analytics Interview Guides

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?

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?

Experiment Validity

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?

Swish Analytics Salaries by Position

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Duties:
Lead the design and development of our next-generation data analytics platform using cutting-edge technologies.
Implement and enforce processes for the complete development cycle including design, implementation, unit testing, code review, testing automation, etc.
Select and implement the right technologies to improve the scalability and productivity of the trading analytics group.
Lead software development on the frontend of applications, leveraging a test-driven development pattern.
Work in a hands-on engineering role serving as a key technical contributor to Swish Analytics product environment; 30% hands-on, 70% managerial.
Collaborate with cross-functional teams, contribute to project requirements, and deliver high-quality products to serve client needs.
Mentor and guide Engineers in utilizing JavaScript, React, and Node to build innovative frontend solutions.
Requirements:
Bachelor's Degree in Computer Science, Software Engineering, Information Technology or similar major.
Minimum of 8 years of experience developing enterprise software for business needs.
Minimum of 4 years of experience in software development with Node and React.
Minimum of 3 years of experience leading teams consisting of Engineers and Product Managers.
Strong SQL querying skills.
Proven track record of leading engineering teams with minimal guidance.
Preferred:
Previous experience in sports analytics or sports betting.
Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios.
Salary: $145-175K
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.

#J-18808-Ljbffr

Swish Analytics Interview Questions

Swish Analytics Interview Guides

Swish Analytics Interview Questions

Swish Analytics Salaries by Position

Swish Analytics Opening Jobs