Data Scientist Role and Interview Preparation

10 08 2023 1 minute read

Note: The following content is summarized from the YouTube video titled Acing the Product Data Science Interview (for Facebook, Google, and Amazon Interviews) from the Jay Feng channel.

Understanding the vital role and preparing for interviews in data science.

A data scientist significantly influences data-driven decisions within a company.

Insight Discovery
- Sift through data to discover actionable insights.
Dashboard Management
- Manage data on dashboards for monitoring and reporting.
Feature Building
- Develop features to enhance product functionalities and user experience.
A/B Testing
- Implement tests to evaluate the impact of changes.
Roll Out & Success Measurement
- Deploy changes, monitor impact, and measure success through pre-defined metrics.
Build Another Dashboard
- Build dashboards for new features/products for continual analysis.

Insightful Observer
- Know what to focus on and explore.
Investigation Skills
- Determine areas requiring investigation to identify issues or improvement areas.
Success Measurement
- Define and quantify success, ensuring alignment with business objectives.

Explore analytical and strategic thinking skills through common interview questions.

Investigating Metrics
- Example: What steps would you take if feature X drops by Y percent?
Measuring Success
- Example: How would you define and measure the success of a feature/product?
Feature Change
- Example: When altering feature X, what metrics would you monitor?
Metric Tradeoffs
- Example: Evaluate a 10% decrease in comments but a 15% increase in reactions on Facebook.
Growth
- Example: How would you strategize to enhance metric X on feature Y?

Think Big
- Relate answers to the larger picture and company objectives.
Ask for Clarification
- Ensure understanding of the question before answering.
Take a Step Back
- Consider responses thoroughly before providing answers.