Shopify | Data Science | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
I had a technical phone screening with Shopify for a Data Science role. The interview focused on SQL and Python problem-solving abilities.
During the first part of the interview, I was asked to write a SQL query to extract specific data from a database. The interviewer provided a scenario where I needed to filter and aggregate data based on certain conditions. I made sure to explain my thought process clearly and break down the steps involved in writing the query.
In the second part of the call, we discussed my experience with Python. The interviewer gave me a couple of coding challenges to test my knowledge in data manipulation and analysis using Python libraries like pandas and NumPy. I was asked to perform operations like data cleaning, filtering, and basic statistical analysis on a mock dataset. I emphasized my approach and reasoning throughout.
Overall, the process felt quite engaging, and I appreciated the interviewer’s feedback and questions that encouraged a deeper understanding of my analytical skills. I look forward to hearing back about the next steps!
Technical Questions
- SQL Query Problem (SQL, Database)
- Data Manipulation with Python (Python, Pandas)
Tips & Insights
- Clearly explain your thought process during problem-solving.
- Be prepared to discuss your experience with relevant libraries like pandas and NumPy.
- Engage with the interviewer by asking clarifying questions.