Data Scientist
Skill: Applied Statistics
- Can you describe a project where you used statistical testing to solve a problem?
- How do you ensure the statistical significance of your results?
- Can you explain a situation where regression analysis was useful in your previous work?
- What is your approach to hypothesis testing?
- Can you describe a time when your statistical analysis significantly impacted a business outcome?
Skill: Python and SQL
- Can you describe a project where you used Python to analyze data?
- What libraries in Python do you use most frequently for data analysis and why?
- Can you provide an example of a complex SQL query you have written?
- What is your experience with data extraction and manipulation using SQL?
- Can you describe a time when you used Python and SQL together in a project?
Skill: Machine Learning
- Can you describe a project where you used machine learning to solve a problem?
- What is your approach to feature selection in machine learning models?
- How do you handle overfitting in your machine learning models?
- What is your experience with deep learning algorithms?
- Can you describe a time when you had to explain a complex machine learning model to a non-technical audience?
Skill: Big Data Technologies
- Can you describe a project where you used big data technologies to solve a problem?
- What is your experience with Hadoop?
- Can you describe a time when you used Spark to process large datasets?
- What is your approach to optimizing big data workflows for performance?
- Can you describe a time when you used big data technologies to drive business decisions?
Skill: Project Management
- Can you describe a project you managed from start to finish?
- What project management methodologies are you most comfortable with and why?
- How do you handle scope creep in your projects?
- What is your approach to risk management in your projects?
- Can you describe a time when you had to manage a project with tight deadlines?
Additional Notes
- Remember to assess the candidate's communication skills throughout the interview.
- Look for examples of the candidate's ability to work in a team and lead projects.
- Assess the candidate's problem-solving skills by asking them to describe how they handled challenges in previous roles.
- Look for evidence of the candidate's ability to learn new technologies and adapt to changes.
- Remember to assess the candidate's understanding of the banking or financial services industry.