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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?

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?

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

Datalab Usa Salaries by Position

DataLab USA™ is an analytics and technology driven database marketing consultancy. We combine sophisticated technology, cutting edge analytics and an intrinsic understanding of marketing to build large-scale addressable marketing programs for Fortune 500 companies. Our clients operate in multiple verticals: Financial Services, Insurance, Telcom, and Travel & Leisure. We have placed in the INC 5000 list of fastest growing private companies for six times in the last ten years. At its heart, DataLab USA™ has the entrepreneurial spirit of a start-up. We judge ourselves on our ability to innovate, drive efficiency and deliver excellence for our clients. Key responsibilities/duties include: •Build, implement and maintain predictive models through their full lifecycle. •Identify patterns & trends in data and provides insights to enhance business decision making. •Identify challenges and opportunities from client strategy discussions and taking ownership of solution. •Set up and monitor monthly model recalibration process. •Generate complex ad-hoc analyses combining disparate concepts or creating new approaches. •Design and create new analytic procedures & automation. •Review corporate model scoring QC. •Review corporate data transformation QC. Education and Experience: •MS/PHD in a quantitative discipline or BS in a quantitative discipline with commensurate experience •Regular SQL use for querying data •Experience programming with at least one language •Use of statistical software (e.g., R, Python) •Experience with Tableau (or other data visualization platform) •Experience with Excel •Financial or insurance industry experience strongly preferred •3-5 years of Database Marketing and Data Mining experience **No Sponsorship offered for this position** DataLab USA™ is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. All offers of employment are contingent on passing a background check and drug test. Privacy Policy - DataLab USA™ | Targeting Better Results

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Datalab Usa Interview Questions

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