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  • Product Management.
  • Career advice.
  • Business development.
Introduction
  • 16+ years of experience in product and strategy in multiple tech and consulting firms
Experience
  • Ridecell, Senior Director 2018 -
  • Cisco, Senior Manager, Product & Strategy 2014 - 2016 -
  • Accenture, Consultant, 2009 - 2012
  • A.T. Kearney, Consultant, 2008
  • Setter, Sales & Product Manager, 2005 - 2008
Education
  • B.S. University of Michigan.
  • M.B.A. University of Michigan.
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Mock interview with Jun Oh

3 services

A/B testing is a statistical framework that helps validate an idea or a theory through data.

For example, a product manager wants to know if changing the color of a buy button from green to blue can encourage more purchases. As a data scientist, it is your job to work with the product manager and, quite often, the engineering team(can help implement the testing settings) to develop a testing plan.

You need to decide at least how many people will see the different colors of the button (sample size), and how many days will the testing run (usually multiples of a week, 7 days), and where should it be running (the US only, or some other small countries just in case testing group is a failure, you don’t want to have a very negative impact to the revenue).

The key assumption of A/B testing is that the control group and the testing group have to be independent. You will probably be asked several questions around this assumption.

You will also need to understand key concepts such as novelty effectlearning effectA/A testing, Simpson’s paradox, etc.

Sample question

The engineering team just invented a people-you-may-know widget. If it is implemented, a user will see their friends on the right-left corner of their homepage. How do you design an experiment to decide whether we should launch this feature or not?

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⏰ A/B Testing with Jun Oh for $199

Get Direct Access To Expert Coaches, mentors, and Industry Professionals.

1:1 product manager mock interview with great product leaders who have launched successful products.


“Experienced product leaders”


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⏰ Product Manager with Jun Oh for $299

One of the data scientists’ main responsibilities is to extract insights from data and work with product managers and engineering teams to deliver actionable plans to improve the product. Think about how you would measure the success of different parts of the product. Why do you think the placement of the text box is at that specific location? What can you do to improve it?

The interviewer will try to evaluate your ability to apply data to the real product problem, how you systematically approach and structure the problem, form a hypothesis with reasonable assumptions, design, and test hypotheses through A/B testing, and use data and facts to convince others to adopt your recommended approaches.

Sample questions

  • If revenue dropped in a given week, what metrics would you look at to understand and why?
  • How would you measure the health of our product search functionality?
  • How would you measure the success of Uber Eats' search bar? How can we improve it? If we move the search bar to a different position, what metrics can we use to evaluate their performance? How would you convince the product manger to move forward with your design of the experiment?
     

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⏰ Product Sense with Jun Oh for $299

Career services by Jun Oh

1 services

Career planning is the most important thing to do for your career.

Whether you are looking to switch to a different career track, e.g., data scientist => product manager.

Or simply want to gain more visibility inside of your company, moving up the career ladder, you need an experienced mentor who had been there and done that.

Get practical advice on job search, career growth, pros n cons of different career paths to make the best decision.


“I have done this for x years and have helped many people with what they wanted to achieve, that is why I am so good at this.”


View Jun Oh's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ Career advice with Jun Oh for $199