By: Ram on Jul 21, 2021
From a Senior Data Scientist, it is expected to perform multiple activities
- Formulating a business problem as a Data Science project
- Understand domain and business content to find relevant use-cases
- Communicating results to business stakeholders
- Mentoring junior data scientists or data engineers
- Evaluating project outputs and finding ways to improve
Some of the high-level questions or scenarios are listed below.
Give an example where you had to present and show the results of analysis or Model to a non-technical audience and what was our approach?
Show example of working with multiple departments of an organization and what role did you play there and what were some of the challenges faced
Share your experience of managing or coaching junior data scientist
Please share 3-4 Data Science use-cases for Insurance and Mutual Fund
Non-renewal of Term Insurance is one of the challenges, as a data scientist, what can you do to help the business
Show example of using both structured and unstructured data for building a machine learning model
Show some of the challenges you faced while working on the data science/machine learning project
Show list of use-cases with applications of unsupervised methods in financial services
Via digital email campaigns, the marketing department sends emails to cross-sell products. How can you help the business to improve the campaign effectiveness?
How do you measure if a digital campaign is working as per business objectives?