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 |
|---|---|---|---|---|---|---|
Can you explain a time when you had to work with messy or incomplete data? | Data Science | Block | null | no | yes | 0 |
Can you explain the concept of recall and precision in the context of evaluating a machine learning model's performance for fraud detection? | Data Science | Block | null | no | no | 0 |
Can you explain the difference between a list and a tuple in Python? | Data Science | Block | null | no | no | 0 |
Can you explain the different types of joins in SQL? | Data Science | Block | null | no | no | 0 |
Can you give an example of a time when you had to balance competing metrics in your analysis? | Data Science | Block | null | no | no | 1 |
Can you give an example of how you would use a window function in a query? | Data Science | Block | null | no | no | 0 |
Can you parse a meta data string into a dictionary? | Data Science | Block | null | no | no | 0 |
Can you provide an example of a successful project where you collaborated with other teams to achieve a data-driven business outcome? | Data Science | Block | null | no | no | 0 |
Can you walk us through your approach to analyzing the data provided? | Data Science | Block | null | no | no | 0 |
Can you walk us through your approach to processing and cleaning the data provided? | Data Science | Block | null | no | no | 0 |
Can you write functions to search for information from that matching certain keywords? | Data Science | Block | null | no | no | 0 |
Consider a time series chart with a lot of ups and downs. How would you identify the peak points? | Data Science | Block | null | no | no | 0 |
Describe a challenging data science problem you encountered in a previous role and how you approached solving it. | Data Science | Block | null | no | no | 1 |
Describe a previous project of your choice, frame and solve a problem given a scenario. | Data Science | Block | null | no | no | 1 |
Describe a time when you had to influence a decision or change based on your data analysis and insights. | Data Science | Block | null | no | yes | 1 |
Describe a time when you used Python to analyze a product dataset? | Data Science | Block | null | no | yes | 0 |
Describe dimensionality reduction and its advantages. | Data Science | Block | null | no | no | 0 |
Describe reinforcement learning and root cause analysis. | Data Science | Block | null | no | no | 0 |
Explain a project in detail | Data Science | Block | null | no | no | 1 |
Explain bagging, boosting, bias-variance trade-off, and stacking in data science. | Data Science | Block | null | no | no | 0 |
Explain selection bias. | Data Science | Block | null | no | no | 0 |
Explain Standard Deviation and talk about its applications. | Data Science | Block | null | no | no | 0 |
Give me an example of how you utilized SQL to support other teams with ad-hoc quests | Data Analytics | Block | null | no | no | 0 |
Given 2 strings. Determine whether they can match in 0 or 1 swaps. StringA = "hello" StringB="oellh" | Data Science | Block | null | no | no | 0 |
Given an overview of an ETL schema, write SQL queries based on it | Data Engineer | Block | null | no | no | 0 |
Have you worked with any Python libraries for data manipulation or visualization? | Data Science | Block | null | no | no | 0 |
How can we deal with outliers? | Data Science | Block | null | no | no | 0 |
How can we select an appropriate value of k in k-means? | Data Science | Block | null | no | no | 0 |
How did you choose which machine learning model to use for the problem at hand? | Data Science | Block | null | no | no | 0 |
How did you decide which variables to focus on in your analysis? | Data Science | Block | null | no | no | 0 |
How do we approach logistic regression? | Data Science | Block | null | no | no | 0 |
How do you approach a problem that requires data quality and data security solutions? | Data Engineer | Block | null | no | no | 0 |
How do you approach collaborating with business partners? | Data Science | Block | null | no | no | 1 |
How do you approach explaining business questions to stakeholders for data analysis? | Data Science | Block | null | no | no | 0 |
How do you approach presenting technical findings and insights to non-technical stakeholders at Square? | Data Science | Block | null | no | no | 1 |
How do you communicate complex metrics to non-technical stakeholders? | Data Science | Block | null | no | no | 0 |
How do you deal with conflict? | Data Science | Block | null | no | no | 1 |
How do you ensure effective collaboration and knowledge sharing within a cross-functional team environment? | Data Science | Block | null | no | no | 1 |
How do you handle ambiguity or uncertainty in your work? | Data Science | Block | null | no | no | 0 |
How do you identify the peaks in a time series chart with many ups and downs? | Data Science | Block | null | no | no | 0 |
How do you prioritize metrics based on business objectives? | Data Science | Block | null | no | no | 0 |
How do you stay up-to-date with the latest trends and techniques in the data science field? | Data Science | Block | null | no | no | 0 |
How does the K-Means algorithm work? State the areas where K-Means can be applied | Data Science | Block | null | no | no | 0 |
How would you approach building a predictive model to detect fraudulent transactions in Square's payment processing data? | Data Science | Block | null | no | no | 0 |
How would you approach finding the average revenue per customer for a given time period? | Data Science | Block | null | no | no | 0 |
How would you approach finding the most frequent word in a text file using Python? | Data Science | Block | null | no | no | 0 |
How would you build a random forest model? | Data Science | Block | null | no | no | 0 |
How would you communicate complex data-driven findings and insights to non-technical stakeholders at Square? | Data Science | Block | null | no | no | 0 |
How would you design an aggregated table for product data analysis? | Data Science | Block | 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 | Block | null | no | no | 0 |
How would you design an SQL query to identify patterns of unusual activity in transaction data? | Data Science | Block | null | no | no | 0 |
How would you detect the stationary nature of time series data? | Data Science | Block | null | no | no | 0 |
How would you ensure you arent overfitting while training a model? | Data Science | Block | null | no | no | 0 |
How would you evaluate the performance of the model you built? | Data Science | Block | null | no | no | 0 |
How would you go about optimizing a slow-running SQL query? | Data Science | Block | null | no | no | 0 |
How would you prioritize stakeholder requests? | Data Science | Block | null | no | no | 1 |
How would you test if a new credit risk scoring model works? What data should we look at? | Data Science | Block | null | no | no | 0 |
How would you validate the results of your analysis? | Data Science | Block | null | no | no | 0 |
State the assumptions required for linear regression. | Data Science | Block | null | no | no | 0 |
Talk about the different kernel functions we can use in SVM. | Data Science | Block | null | no | no | 0 |
Talk in detail about your favorite ML algorithm. | Data Science | Block | null | no | no | 0 |
Tell me about previous experience working in data engineering | Data Analytics | Block | null | no | yes | 0 |
Tell me about your experience working with ETL methods | Data Analytics | Block | null | no | yes | 0 |
Tell me about your experience working with Snowflake | Data Analytics | Block | null | no | yes | 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 | Block | null | no | no | 0 |
What are some common data structures in Python? | Data Science | Block | null | no | no | 0 |
What are some key product metrics that you would use to measure the success of a Square product or feature? | Data Science | Block | null | no | no | 1 |
What are the feature selection methods used in selecting the correct variables? | Data Science | Block | null | no | no | 0 |
What data quality and data security problems do you face in your daily work, and how do you handle the easy and hard parts? | Data Engineer | Block | null | no | no | 0 |
What do you understand by a random forest model? | Data Science | Block | null | no | no | 0 |
Analyze raw data to extract actionable business insights requires both technical proficiency and strategic thinking. Discuss your methodical approach to data analysis and your capacity to align your findings with business goals. | Data Analytics | Capital One | null | no | no | 1 |
As a Data Analytics in a ride-sharing marketplace, how do you detect fraud and ensure fair pricing? | Data Analytics | Capital One | null | no | no | 0 |
Beyond technical skills, what do you consider your biggest strength in approaching and solving data-driven problems? | Data Analytics | Capital One | null | no | no | 1 |
Can you describe a situation where you had to work collaboratively with a team, and how you contributed to the team's success? | Machine Learning | Capital One | null | no | yes | 1 |
Can you design a model to predict customer churn in a subscription-based service? | Machine Learning | Capital One | null | no | no | 0 |
Can you explain how you would design a system to detect fake news? | Machine Learning | Capital One | null | no | no | 0 |
Can you explain some of the common techniques used to impute missing values? | Machine Learning | Capital One | null | no | no | 0 |
Can you explain what feature engineering is, and why it is important in machine learning? | Machine Learning | Capital One | null | no | no | 0 |
Can you give an example of a feature engineering technique you have used in a past project? | Machine Learning | Capital One | null | no | no | 1 |
Can you give examples of using data to influence strategies and optimize outcomes in marketing? | Data Analytics | Capital One | null | no | no | 0 |
Can you provide examples where you identified risks and mitigated them in a lending portfolio? | Data Analytics | Capital One | null | no | no | 1 |
Can you provide examples where you successfully evaluated and implemented a solution? | Data Analytics | Capital One | null | no | no | 0 |
Can you share examples where your forecasts impacted decision-making or improved inventory management? | Data Analytics | Capital One | null | no | no | 1 |
Can you tell me about a project or initiative that you are proud of, and why? | Machine Learning | Capital One | null | no | no | 0 |
Can you tell me about a time when you had to adapt to a new environment or learn a new skill quickly? | Machine Learning | Capital One | null | no | yes | 1 |
Can you tell me about the most challenging project you have worked on? | Data Engineer | Capital One | null | no | no | 0 |
Can you walk us through a specific example of how you have used cross-validation in a past project? | Machine Learning | Capital One | null | no | no | 0 |
Can you walk us through the process of evaluating the performance of a machine learning model? | Machine Learning | Capital One | null | no | no | 0 |
Can you walk us through your thought process for selecting an algorithm for a specific problem? | Machine Learning | Capital One | null | no | no | 0 |
Compare and contrast the use of bar charts and scatter plots for visualizing customer spending patterns. When would you choose one over the other, and why? | Data Analytics | Capital One | null | no | no | 0 |
Compare and contrast two common sorting algorithms, like mergesort and quick sort. | Machine Learning | Capital One | null | no | no | 0 |
Could you please share an example of where you had to work under a tight deadline? | Data Engineer | Capital One | null | no | no | 1 |
Create a function that takes a list of poems (sentences) and returns a dictionary where keys represent word frequencies, and values are lists of words with that frequency. | Data Engineer | Capital One | null | no | no | 0 |
Create a function to append the count of each characters occurrences in a sentence after that character. | Data Engineer | Capital One | null | no | no | 0 |
Create a function, rotate_matrix, to rotate a given array by 90 degrees in the clockwise direction. | Data Analytics | Capital One | null | no | no | 0 |
Define data warehousing and highlight its distinctions from a traditional database. | Data Engineer | Capital One | null | no | no | 0 |
Describe a time when you had to adapt to a new process or policy at work? | Machine Learning | Capital One | null | no | yes | 1 |
Describe Apache Spark and how it is different from Hadoops MapReduce. | Data Engineer | Capital One | null | no | no | 0 |
Describe the process triggered by the Block Scanner upon identifying a corrupted data block in detail. | Data Engineer | Capital One | null | no | no | 0 |
Describe your knowledge of data modeling principles and your ability to design a schema that captures all necessary data points for analytics. | Data Engineer | Capital One | null | no | no | 0 |
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