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Ucsf Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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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 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.

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

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

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?

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?

JOB OVERVIEWUniversity Development and Alumni Relations (UDAR) at UCSF has an opening for a talented researcher to join the Prospect Development and Reporting team as an analyst.This role researches, analyzes, evaluates and manages information in an ongoing effort to expand the pipeline of prospective major gift donors and move those prospects toward making commitments critical to the support of the university's fundraising priorities.To facilitate UDAR's prospect development activities, this role creates processes, reports, and tools as well as providing analysis that allows UDAR and UCSF staff to have a thorough understanding of their constituency, prospects and their work.A key component of this position is to conduct research and write biographies on donors, potential donors and others of interest to UCSF, using standard prospect biographical and financial resources.Frequent interaction with fundraisers and other UDAR colleagues, senior university administrators, and major donors and prospects, executives, government officials, and public personalities will be part of the day-to-day responsibilities.UCSF FOUNDATION AND UNIVERSITY DEVELOPMENT &amp; ALUMNI RELATIONSThe UCSF Foundation and University Development &amp; Alumni Relations (UDAR) are responsible for fostering and strengthening campus outreach efforts to UCSF constituents and for garnering private support for the campus; formal acceptance and administration of all private gifts to the university through the UC Regents and the UCSF Foundation, and for managing all alumni relations activities and campus events.In raising private support, UDAR identifies, qualifies, solicits and stewards donors to UCSF schools, its medical center, departments and programs.ABOUT UCSFThe University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care.It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.Required Qualifications ? Bachelor's degree in related area and / or equivalent experience / training Three years' experience in fundraising environment and demonstrated knowledge of prospect research, prospect management, and fundraising principles, techniques, and data Two years' experience with qualitative and quantitative assessment and analysis of fundraising, donor, prospect, and alumni data, including predictive modeling Demonstrated proficiency in report generation and analysis.Please include a sample of a report you produced, analysis conducted, or dashboard (or other visualization) you created that best represents your work Excellent written and interpersonal communication skills to establish and maintain good working relationships with colleagues and communicate the results of research and analysis Excellent organizational, analytical and critical thinking skills Demonstrated ability to maintain the highest standards of confidentiality Ability to work with data of varying levels of quality and validity Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detailNote:Fingerprinting and background check required.Preferred Qualifications ? Working knowledge of the campus and / or medical center, its vision, mission, goals, objectives, achievements and infrastructure Working knowledge of applicable laws, rules, regulations, policies, etc.License/Certification n/a Position Type Full Time Percentage 100% Equal Employment Opportunity The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.Posted by StartWire..

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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