Master Product Data Analytics
Master Product Data Analytics:Acing the Meta's Data Science Analytical Interview
IV. Meta Specificity (The Meta Advantage)
This section is tailored for Meta. Understanding its interview process, data science culture, and internal tools will give you a significant advantage.
1. Deep Dive into Meta's Interview Process
- 1.1 What to Expect at Each Stage
- Initial Screen: Typically a 30-45 minute phone call with a recruiter. Focus: your background, experience, and interest in Meta.
- Technical Screen: Usually a 45-60 minute phone or video call with a data scientist. Focus: SQL and/or Python/R coding skills.
- Onsite Interviews: Typically a full day of interviews (4-5 rounds) at a Meta office (or virtually).
- Analytical Execution: In-depth case study interview (45-60 minutes).
- Analytical Reasoning/Product Sense: 45-60 minute interview focused on product strategy and decision-making.
- Behavioral Interview: 45-60 minute interview focused on your past experiences and behaviors.
2. Meta's Data Science Culture
Summary of working at scale, collaboration, and pace of innovation.
3. Internal Tools and Technologies (General Overview)
Overview of Hadoop, Hive, Spark, Presto, experimentation platforms, visualization tools.
4. Product Deep Dives (Examples)
Examples covering Facebook, Instagram, WhatsApp, and product-specific metrics and questions.