Top Data Science Interviews at Google You Must Be Aware Of

Analytics Insight features the top Data Science interviews at Google for aspiring data scientists to crack an offer

Data Science is thriving in the global data-driven market owing to a massive growth of real-time data from data explosion, especially in the post-pandemic scenario. Tech giants like Google, Amazon and many more tech companies need professional data scientists for effective data management. Digitalization has created a huge demand for data scientists in the last few years. Aspiring data scientists have a desire to work at Google in the nearby future. Thus, they need to be aware of some Data Science interviews to efficiently crack the requirements of tech companies and receive a lucrative salary package per year with sufficient work experience for a better future. Let's be aware of some of the Data Science interviews at Google that can help to receive an offer letter.

Introduction

The Data Science role at Google is focused on metrics and experimentation as a quantitative analyst. Aspiring data scientists at Google should have practical experience for two to three years minimum in the data analytics field with some added certificate courses in Data Science or a programming language are an advantage. There are different teams for data scientists at Google— engineering and design, gTech professional services, Google Maps core metrics, geo, operations and supports, Google Ads, search ads, as well as business strategies.

Data Science Interviews at Google

The usual process of Data Science interviews at Google starts with a technical screening through a video call (Google Hangout). The interview consists of questions related to design, statistics and coding with any one programming language. There are technical discussions related to past work experiences— description, challenges faced, solutions required, technical approach and difference between the technical approach and others approach.

There is one on-site interview at Google where aspiring data scientists need to give five rounds with professional and existing data scientists— computational statistics, product interpretation, modelling, behavioural questions, probability and many more. These five rounds take around 45 minutes per an interview with different teams.

Data Science Interviews at Google consist of behavioural as well as technical problems to assess aspiring data scientists with the work culture as well as their education on technical know-how to solve complicated products and business problems.

List of Data Science Interviews— Behavioural Assessment

• Why do you prefer to work at Google instead of other tech companies?
• Explain your past work experiences and projects in Data Science
• How do you balance different Data Science projects within a strict deadline?
• How do you plan to achieve your career goals in the next few years?
• What is your favourite Google product and why do you like it?
• What were your reactions as a data scientist when any project was unsuccessful?

Data Science Technical Interviews— Post-Behavioural Assessment

• Solve technical problems through SQL, Python and quantitative analysis tools
• Strategic solutions to Google's products and services
• Solve different hypothetical scenarios
• Coding live in a suitable programming language on a shared document with different algorithmic coding questions
• Different statistics and machine learning questions to observe sufficient technical knowledge

How to Crack These Data Science Interviews?

There are four attributes that Google wants in their professional data scientists to enhance productivity and efficiency:

• General Cognitive Ability for adapting to new technical problems
• Data Science related in-depth knowledge and past experience with domain expertise
• Leadership quality for working in cross-functional teams
• Googleyness to adapt to the work culture and values