Data Scientist

Skill: Applied Statistics

  1. Can you describe a project where you used statistical testing to solve a problem?
  2. How do you ensure the statistical significance of your results?
  3. Can you explain a situation where regression analysis was useful in your previous work?
  4. What is your approach to hypothesis testing?
  5. Can you describe a time when your statistical analysis significantly impacted a business outcome?

Skill: Python and SQL

  1. Can you describe a project where you used Python to analyze data?
  2. What libraries in Python do you use most frequently for data analysis and why?
  3. Can you provide an example of a complex SQL query you have written?
  4. What is your experience with data extraction and manipulation using SQL?
  5. Can you describe a time when you used Python and SQL together in a project?

Skill: Machine Learning

  1. Can you describe a project where you used machine learning to solve a problem?
  2. What is your approach to feature selection in machine learning models?
  3. How do you handle overfitting in your machine learning models?
  4. What is your experience with deep learning algorithms?
  5. Can you describe a time when you had to explain a complex machine learning model to a non-technical audience?

Skill: Big Data Technologies

  1. Can you describe a project where you used big data technologies to solve a problem?
  2. What is your experience with Hadoop?
  3. Can you describe a time when you used Spark to process large datasets?
  4. What is your approach to optimizing big data workflows for performance?
  5. Can you describe a time when you used big data technologies to drive business decisions?

Skill: Project Management

  1. Can you describe a project you managed from start to finish?
  2. What project management methodologies are you most comfortable with and why?
  3. How do you handle scope creep in your projects?
  4. What is your approach to risk management in your projects?
  5. Can you describe a time when you had to manage a project with tight deadlines?

Additional Notes

  1. Remember to assess the candidate's communication skills throughout the interview.
  2. Look for examples of the candidate's ability to work in a team and lead projects.
  3. Assess the candidate's problem-solving skills by asking them to describe how they handled challenges in previous roles.
  4. Look for evidence of the candidate's ability to learn new technologies and adapt to changes.
  5. Remember to assess the candidate's understanding of the banking or financial services industry.