question
stringlengths
11
711
domain
stringclasses
8 values
company
stringclasses
30 values
year
float64
2.02k
2.02k
coding
stringclasses
2 values
personal_exp
stringclasses
2 values
category
float64
0
1
How do you approach learning from failures?
Data Science
Stripe
null
no
no
1
How do you approach presenting technical findings and insights to non-technical stakeholders at Square?
All
Stripe
null
no
no
1
How do you approach programming languages and tools?
Data Science
Stripe
null
no
no
0
How do you balance competing priorities and deadlines in your work as a Data Science?
Data Science
Stripe
null
no
no
0
How do you balance technical debt with delivering new features?
Data Science
Stripe
null
no
no
1
How do you decide which type of learning you should use for a given problem?
Data Science
Stripe
null
no
no
0
How do you determine the order of priority for your tasks?
Data Science
Stripe
null
no
no
1
How do you ensure effective collaboration and knowledge sharing within a cross-functional team environment?
Data Science
Stripe
null
no
no
1
How do you ensure that your work as a Data Science aligns with Stripe's mission and values?
Data Science
Stripe
null
no
no
0
How do you foster a culture of innovation within your team?
Data Science
Stripe
null
no
no
1
How do you handle conflicting priorities or stakeholder expectations in a project?
Data Science
Stripe
null
no
no
1
How do you handle conflicts in the workplace?
Data Analytics
Stripe
null
no
no
1
How do you handle resource constraints when managing a project?
Data Science
Stripe
null
no
no
1
How do you handle stress and pressure?
Data Science
Stripe
null
no
no
1
How do you identify the peaks in a time series chart with many ups and downs?
Data Science
Stripe
null
no
no
0
How do you measure and track the success of your team's projects?
Data Science
Stripe
null
no
no
0
How do you optimize model parameters during model building?
Data Science
Stripe
null
no
no
0
How do you prioritize multiple deadlines? Additionally, how do you stay organized when you have multiple deadlines?
Data Science
Stripe
null
no
no
1
How do you prioritize tasks when working on multiple projects at the same time?
Data Science
Stripe
null
no
no
0
How do you respond to and manage criticism?
Data Science
Stripe
null
no
no
1
How do you see the role of a Data Science contributing to helping businesses grow and succeed?
Data Science
Stripe
null
no
no
1
How do you stay current on industry trends and advancements in data science?
Data Science
Stripe
null
no
no
0
How do you stay up-to-date with the latest trends and technologies in the field of data science?
Data Science
Stripe
null
no
no
0
How do you stay up-to-date with the latest trends and technologies in the field of data science?
Data Science
Stripe
null
no
no
0
How do you think about trade-offs?
Data Science
Stripe
null
no
no
0
How does A/B testing work?
Data Science
Stripe
null
no
no
0
How does the K-Means algorithm work?
Data Science
Stripe
null
no
no
0
How have you dealt with conflicts in teams in the past?
Data Science
Stripe
null
no
no
1
How have you integrated machine learning into projects in the past?
Machine Learning
Stripe
null
no
no
0
How is your experience aligned with the values of Stripe?
Data Science
Stripe
null
no
yes
1
How missing values and impossible values are represented in R language?
Data Science
Stripe
null
no
no
0
How to train a prediction model given a tabular dataset.
Machine Learning
Stripe
null
no
no
0
How to write a query to join two tables?
Data Science
Stripe
null
yes
no
0
How to write a simple Python function to solve a problem?
Data Analytics
Stripe
null
no
no
0
How would you approach analyzing a large dataset on payment trends?
Data Analytics
Stripe
null
no
no
0
How would you approach building a customer segmentation model for a financial services company like Stripe, considering the large amount of data available to you?
Data Science
Stripe
null
no
no
0
How would you approach building a predictive model to detect fraudulent transactions in Square's payment processing data?
Data Science
Stripe
null
no
no
0
How would you approach data exploration and initial analysis of a dataset containing transaction records from a Stripe integration?
Data Science
Stripe
null
no
no
0
How would you build a random forest model?
Data Science
Stripe
null
no
no
0
How would you build an ETL pipeline to get Stripe payment data into the database so analysts can build revenue dashboards and run analytics?
Data Analytics
Stripe
null
no
no
0
How would you choose between the subscription and the market-place based options?
Data Science
Stripe
null
no
no
0
How would you communicate complex data-driven findings and insights to non-technical stakeholders at Square?
Data Science
Stripe
null
no
no
0
How would you decide which customers to offer a new feature to if given the opportunity to offer it to a small percentage of customers?
Data Analytics
Stripe
null
no
no
0
How would you design an experiment to test the effectiveness of a new feature in Square's payment processing platform using data analysis?
Data Science
Stripe
null
no
no
0
How would you design an SQL query to identify patterns of unusual activity in transaction data?
Data Science
Stripe
null
no
no
0
How would you detect the stationary nature of time series data?
Data Science
Stripe
null
no
no
0
How would you ensure the privacy and security of sensitive payment data while working with Stripe transaction data for analysis?
Data Science
Stripe
null
no
no
0
How would you ensure you arent overfitting while training a model?
Data Science
Stripe
null
no
no
0
How would you find out if the difference between this month and the previous month was significant or not in a time series dataset grouped monthly for the past five years?
Data Analytics
Stripe
null
no
no
0
How would you go about analyzing the performance of a new product launch and identify areas for improvement?
Data Analytics
Stripe
null
no
no
0
How would you go about designing and implementing an A/B test for a new feature on our payments platform and what metrics would you use to determine its success?
Data Science
Stripe
null
no
no
0
How would you go about developing a predictive model for fraud detection in a payment processing system?
Data Science
Stripe
null
no
no
0
How would you measure the success of your pricing strategy?
Data Science
Stripe
null
no
no
0
How would you test if a new credit risk scoring model works?
Data Science
Stripe
null
no
no
0
I'd love to hear about a project you're particularly proud of.
Data Science
Stripe
null
no
no
1
If you are a Data Science at Facebook, how would you evaluate the effect on the engagement of teenage users when their parents join Facebook?
Data Science
Stripe
null
no
no
0
If you were to offer a small percentage of your customers access to a new feature, how would you decide who to offer it to?
Data Analytics
Stripe
null
no
no
1
Lets say that we are the PM of the Calm meditation app. We launched the app in a new country but found out it isnt performing as well as expected. What would you investigate to find out why?
Data Science
Stripe
null
no
no
1
Lets say that youre a Data Science on the engagement team. A product manager comes up to you and says that the weekly active users metric is up 5%, but email notification open rates are down 2%. What would you investigate to diagnose whats happening?
Data Science
Stripe
null
no
no
1
Lets say you work for a search engine company. The company has increased the number of ads shown after a subset of searches. After analyzing the data, we see that the total amount of revenue is up, but the total number of user searches is down. Is this good or bad?
Data Science
Stripe
null
no
no
1
Make a function that takes a single user and services input and returns the services that will be available to the user based on specific conditions such as regional availability.
Machine Learning
Stripe
null
no
no
0
Outline some time series analysis methodologies besides ARIMA.
Machine Learning
Stripe
null
no
no
0
Parse a meta data string into a dictionary.
Data Science
Stripe
null
no
no
0
Please explain the steps you take to turn raw data into something that a machine learning algorithm can interpret.
Machine Learning
Stripe
null
no
no
0
Prepare a 15-minute presentation on a data project you have worked on in the past. What were your methods and findings, and what impact did it have on the business/organization?
Data Science
Stripe
null
no
no
1
Share a time when you were challenged in public.
Data Science
Stripe
null
no
no
1
Show how to write a program that rolls a six-sided die fairly, and describe how you'd ensure the fairness of the rolls.
Machine Learning
Stripe
null
no
no
0
Some services are only available to some regions, what service will be available to the input user?
Machine Learning
Stripe
null
no
no
0
State the areas where K-Means can be applied
Data Science
Stripe
null
no
no
0
State the assumptions required for linear regression.
Data Science
Stripe
null
no
no
0
Stripe is expanding its services into a new market and wants to optimize its pricing strategy. How would you approach this problem?
Data Science
Stripe
null
no
no
0
Suppose Stripe is planning to expand its business to a new geographic location. How would you use data and analytics to help with this decision?
Data Science
Stripe
null
no
no
0
Suppose Stripe wants to improve fraud detection for their payment platform. How would you approach this problem as a Data Science?
Data Science
Stripe
null
no
no
0
Suppose we have a dataset of customer transactions and we want to build a predictive model to identify fraudulent transactions. How would you approach this problem and what techniques or algorithms would you use?
Data Science
Stripe
null
no
no
0
Suppose you are hired by Stripe as a Data Science. How would you approach detecting and mitigating fraudulent transactions?
Data Science
Stripe
null
no
no
0
Talk about the different kernel functions we can use in SVM.
Data Science
Stripe
null
no
no
0
Talk in detail about your favorite ML algorithm.
Data Science
Stripe
null
no
no
0
Tell me about a project that you failed on
Data Analytics
Stripe
null
no
no
1
Tell me about a project where you had to work collaboratively with a cross-functional team to achieve a common goal. What was your role and how did you contribute?
Data Science
Stripe
null
no
no
1
Tell me about a time when you disagreed with a decision at work.
Data Science
Stripe
null
no
yes
0
Tell me about a time when you exceeded expectations during a project. What did you do, and how did you accomplish it?
Data Science
Stripe
null
no
yes
0
Tell me about a time when you had to align your team's goals with the company's overall objectives.
Data Science
Stripe
null
no
yes
1
Tell me about a time when you had to handle a large dataset. How did you go about managing it?
Data Science
Stripe
null
no
yes
0
Tell me about a time when you had to negotiate with stakeholders
Data Science
Stripe
null
no
yes
1
Tell me about a time when you had to take a risk and it didn't pay off.
Data Science
Stripe
null
no
yes
1
Tell me about a time you had to learn something quickly.
Data Science
Stripe
null
no
no
0
Tell me about a time you had to make a decision with incomplete information.
Data Science
Stripe
null
no
no
0
Tell me about yourself.
Machine Learning
Stripe
null
no
no
1
Tell us about a time when you had to present a data analysis to non-technical stakeholders. How did you prepare for the presentation and what was the outcome?
Data Science
Stripe
null
no
no
0
Tell us about your experience working with data. What kind of data have you worked with in the past, and what did you do with it?
Data Science
Stripe
null
no
yes
0
Walk me through the entire process, from data cleaning and wrangling to model selection and evaluation.
Data Science
Stripe
null
no
no
0
What are some common algorithms used for anomaly detection in financial transaction data, and how would you choose the most suitable one for Square's needs?
Data Science
Stripe
null
no
no
0
What are some common challenges businesses face when implementing analytics solutions, and how can these challenges be addressed?
Data Science
Stripe
null
no
no
1
What are some key features or columns you would look at to understand the datas structure and quality in a dataset containing transaction records from a Stripe integration?
Data Science
Stripe
null
no
no
0
What are some techniques you have used to handle missing data in your previous projects, and what were the pros and cons of each method?
Data Science
Stripe
null
no
no
0
What are the differences between standard deviation and variance?
Data Science
Stripe
null
no
no
0
What are the feature selection methods used in selecting the correct variables?
Data Science
Stripe
null
no
no
0
What are the key metrics you employ to monitor the success of your team?
Data Science
Stripe
null
no
no
1
What are time series models?
Data Analytics
Stripe
null
no
no
0
What challenges did you face in your projects, and how did you overcome them?
Data Analytics
Stripe
null
no
no
0