Top Meta Data Scientist Interview Questions
Meta, formerly Facebook, connects billions worldwide through platforms like Facebook, Instagram, and WhatsApp. Known for its innovation in social media, Meta is now spearheading the development of the metaverse, creating immersive virtual experiences. With a focus on augmented reality, AI, and digital advertising, Meta drives advancements in connectivity, empowering communities and reshaping how individuals interact digitally.
The PM responsible for Facebook events has a new idea to drive engagement – when your friends mark that they’ll attend an event, you will get a notification. How would you measure the success of this notification? What counter-metrics would you look at?
Meta
What the interviewer is looking for:
• Assess understanding of AI and its application.
• Gauge problem-solving ability for product development.
• Understand the candidate's innovative thinking.
Key points to address:
• Discuss specifics of AI implementation in the product.
• Detail an innovative solution for interview preparation.
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How would you handle situations where the chosen metrics may be influenced by external factors?
Meta
What the interviewer is looking for:
• Assess your understanding of AI technology.
• Evaluate your problem-solving and creative thinking skills.
• Understand your ability to articulate complex ideas simply.
Key points to address:
• Demonstrate your knowledge of AI applications.
• Present your unique solution for the product.
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How would you measure user engagement in an A/B test?
Meta
What the interviewer is looking for:
• Assessing your technical skills and understanding.
• Understanding your problem-solving process.
• Checking your ability to communicate effectively.
Key points to address:
• Elaborate on your technical skills and experiences.
• Discuss your problem-solving strategies and techniques.
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Can you explain the concept of effect size and its relevance in interpreting A/B test results?
Meta
What the interviewer is looking for:
• Assessment of technical knowledge.
• Insight into problem-solving skills.
• Understanding of AI and its applications.
Key points to address:
• Demonstrate knowledge in AI.
• Highlight problem-solving abilities.
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What A/B testing pitfalls might you encounter?
Meta
What the interviewer is looking for:
• Ability to articulate complex ideas.
• Understanding of AI concepts.
• Experience working with AI.
Key points to address:
• Discuss your understanding of AI.
• Speak about your experience with AI.
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Explain logistic regression in the context of recommendation systems.
Meta
What the interviewer is looking for:
• Evaluation of candidate's problem-solving skills.
• Assessment of technical knowledge and its application.
• Understanding of candidate's approach towards complex scenarios.
Key points to address:
• candidate should elaborate ideas in a structured manner.
• candidate's response ought to be aligned with real-world scenarios.
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Tell me about a time when you had to work on a challenging data science project. How did you approach the problem, and what was the outcome?
Meta
What the interviewer is looking for:
• Assess your problem-solving skills.
• Gauge your proficiency in AI technology.
• Evaluate your understanding of product development.
Key points to address:
• Discuss your approach to developing the product.
• Detail your knowledge and application of AI.
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What data would you analyze to see if building this new product/feature is worth it?
Meta
What the interviewer is looking for:
• Assessing the candidate's understanding of AI.
• Evaluating technical expertise and product sense.
• Understanding how the candidate handles complex projects.
Key points to address:
• Discuss your AI knowledge and its application.
• Describe how you handled similar projects.
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What’s the novelty effect in A/B testing? How can it be identified and accounted for?
Meta
What the interviewer is looking for:
• Assess your understanding of AI technology.
• Evaluate your problem-solving skills.
• Gauge your ability to design user-friendly software.
Key points to address:
• Discuss your knowledge and usage of AI technology.
• Highlight problem-solving strategies applied in past projects.
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Meta’s data science team is exploring ways to improve search relevance for users navigating its marketplace platform. However, search queries are returning irrelevant or inaccurate results, leading to frustration among users. How would you analyze user search queries and click-through behavior to identify issues with search relevance?
Meta
What the interviewer is looking for:
• Assess understanding of artificial intelligence.
• Gauge problem-solving skills related to AI.
• Check candidate's ability to explain technical topics.
Key points to address:
• Explain your understanding of AI.
• Share solutions to potential challenges in AI.
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What is a control group, and why is it important in A/B testing?
Meta
What the interviewer is looking for:
• Assess the candidate's empathy and user understanding.
• Test the candidate's product design ability.
• Evaluate their ability to prepare and discuss a product roadmap.
Key points to address:
• Include examples that highlight user-focused design decisions.
• Discuss your experience designing product roadmaps.
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Can you discuss the trade-offs between statistical power and Type I error rate in A/B testing?
Meta
What the interviewer is looking for:
• Assess your knowledge about AI technology.
• Check for realistic goals in implementation.
• Understand your approach towards product creation.
Key points to address:
• Discuss your understanding of AI functionalities.
• Detail your plan for product development and execution.
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Can you provide examples of situations where failing to correct for multiple testing could lead to erroneous conclusions?
Meta
What the interviewer is looking for:
• Assessment of technical knowledge.
• Ability to explain complex ideas clearly.
• Demonstrating problem-solving skills.
Key points to address:
• Showcase relevant skills and experience.
• Provide specifics, with examples if possible.
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How would you handle situations where the results of an A/B test are inconclusive?
Meta
What the interviewer is looking for:
• Assess understanding of AI and its applications.
• Gauge the candidate's problem-solving ability.
• Evaluate the candidate's knowledge of product development.
Key points to address:
• Highlight experience with AI and product development.
• Discuss how you approach problem-solving.
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Discuss a project where you had to collaborate with cross-functional teams or stakeholders. How did you manage differing priorities and opinions, and what was the outcome of the project?
Meta
What the interviewer is looking for:
• Assessing the candidate's problem-solving skills.
• Understanding the candidate's familiarity with AI technology.
• Evaluating the candidate's strategic thinking ability.
Key points to address:
• Illustrate your approach to problem-solving in AI.
• Demonstrate your understanding and application of AI technology.
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How do you ensure that the selected metrics are relevant to the business goals?
Meta
What the interviewer is looking for:
• Assessment of technical knowledge.
• Understanding of role-specific situations.
• Evaluation of problem-solving abilities.
Key points to address:
• Highlight relevant skills and knowledge.
• Provide well-thought-out solutions to presented scenarios.
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What factors influence the statistical power of an A/B test?
Meta
What the interviewer is looking for:
• Ability to articulate technical concepts clearly.
• Understanding of artificial intelligence's impact.
• Assessment of problem-solving and creative thinking skills.
Key points to address:
• Discuss specific features of the AI product.
• Highlight how the product solves a particular problem.
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How would you communicate the findings of an A/B test to stakeholders?
Meta
What the interviewer is looking for:
• Assess your understanding of AI technology.
• Evaluate your problem-solving skills.
• Gauge your ability to communicate complex ideas.
Key points to address:
• Showcase your knowledge on AI.
• Discuss your problem-solving approach.
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What measures can be taken to increase the statistical power of an A/B test?
Meta
What the interviewer is looking for:
• Assessing the candidate's subject matter expertise.
• Evaluating the candidate's problem-solving skills.
• Understanding the candidate's communication capabilities.
Key points to address:
• Highlight your relevant skills and knowledge.
• Discuss your process for solving problems.
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Can you provide examples of quantitative and qualitative metrics used in A/B testing?
Meta
What the interviewer is looking for:
• Assess the candidate's knowledge of AI technology.
• Evaluate the ability to apply AI in real-world scenarios.
• Test the candidate's problem-solving and creativity skills.
Key points to address:
• Include practical applications of AI in your product.
• Demonstrate clear problem-solving strategies using AI.
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