Dawn Choo @askdatadawn

Here are some reasons why you should not run an AB experiment: 1. Insufficient Traffic or Data Example: For an early-stage product with a small user base, running an A/B test on a new feature may yield inconclusive results due to insufficient data. 2. Network Effects Example:…

5 Data Science interview questions to solve this week 👇🏽 This week we’re focusing on Experimentation Concepts. 1. What are the assumptions of an AB test? 2. What are some scenarios where you might avoid running an AB experiment? 3. What factors impact how long to run an…

I ask every recruiter this one question. And it boggles me that others don’t. "Can you share any feedback from my last interview, especially where I can improve?” I use this feedback to study up on weak areas before my next interview. And in subsequent interviews, I highlight…

5️⃣ Data Science interview questions to solve this week These numbers are made up — please don’t sue me. → TikTok has noticed a 20% decrease in monthly active users over the last quarter. What do you think could be happening? → During a weekly report, you find that the…

Metric investigation are my favorite type of interview question. Because I can use the same framework every time. 👇 Metric investigation questions are very common in #DataScience and #DataAnalyst interviews. They’re also the easiest to study for. Here's the 5-step framework…

Here’s the first thing I do in any SQL interview 👇🏽 Ask the interviewer how the data will be used. But how would the use case for a data change my answer? Consider this scenario from my own experience. When asked about the average sales for sellers, instead of diving straight…

I took a 40% pay cut when I accepted an offer from Amazon. Yes, 40% less in total compensation. When I was 27, I wanted to transition from the Finance industry into Tech. Unfortunately, I interviewed for 7 Data Science jobs and got 0 offers. But I got an offer to be a…

“Keep your goals away from the trolls.” — my fortune cookie 🥠 Happy Monday! A little start-of-week reminder to all aspiring data scientists and analysts: don't let naysayers or negative self-talk hold you back from achieving your goals. I’m rooting for you!

I tell every hiring manager that my #1 priority isn’t Data Science. It is dance. Why? Because if Beyoncé calls me to tour, I'm there. This may sound counter-intuitive, but I believe being honest in my interviews has helped me get offers. In fact, I got offers from 6 out of 7…

I use this framework in every hiring manager interview. And it only involves 3 simple steps. I discuss my previous jobs and projects, by answering these three questions in order: What was the situation before me? What actions did I take? What was the impact of my actions?…

The one interview type that you can be 100% prepared for? Behavioral interviews. Here are 3️⃣ simple Do’s and Don’t’s when answering behavioral interview questions👇🏽 ✅ Emphasize Your Impact: Always focus on your contributions. Use "I" to describe specific actions you took and…

I had an interviewer laugh at my answer. And not in a good way. When I was in college interviewing for a Big 4 consulting firm, I had an interviewer straight up laugh in my face. I don’t even remember the question they asked or what my answer was. But I remember the…

👀 An underrated tip for acing your Data Science interviews: Recreate the environment that you’ll be interviewing in. 📝 Research shows that studying in a classroom that mimics the exam environment can help improve test scores. It’s no different for interviews. Here are 4️⃣ ways…

"Don't make me think" - every recruiter reviewing 1000+ resumes

Easiest way to impress an interviewer? Knowing the product inside and out. Here are ✋🏽 things to do before every interview to familiarize yourself with the product: 1️⃣ Sign-up for the account and play around with the product. Make sure you understand what the app is about and…

SQL interviews aren’t just about your SQL skills. Here are 3️⃣ more things you should do during your Data Science technical interviews: 1️⃣ Ask how the data is going to be used Your approach to a question will be different if the data is going to be used in a marketing brochure,…

The 5️⃣ most common types of Data Science interview questions And accompanying practice questions 👇 📊 Metric definition questions require you to define a set of metrics for a product or initiative. ↳ How would you measure the success of a newly-launch customer loyalty…

Data solutions don't have to be complicated for them to be good. In fact, I'd lean towards the simplest solution that answers your the question.

Companies want to hire a thought leader, not a data monkey. Here are 2 ways you can present yourself as a thought leader in your interviews: Getting a strong YES on an interview requires more than just technical skills. You should use your interviews to demonstrate your ability…