Do you want to become a Data Scientist at GOOGLE? Yay! 🙌 you are at the right place.
Google is an American multinational technology company that focuses on cloud computing, search engines, artificial intelligence, e-commerce, computer software, online advertising, quantum computing, and consumer electronics. Google has a wide variety of services and users who generate terabytes of data every day. And to handle and interpret such giant data, Google needs many data scientists.
This blog will help you know all the details of the role of data scientist at Google and get you through the whole process.
Job Description 👨🏻🔬
Data scientists use their analytic, programming, and statistical skills to collect, analyse, and interpret data sets to find and develop data-driven solutions to business challenges.
The role of a data scientist at google is mainly based on analytics focused on experimentation and metrics.
This is different from product analyst and machine learning roles at Google, focusing on the engineering and product sides.
Evaluating and improving google's products is the main task of Data Scientist at Google. On a wide variety of problems, you will collaborate with a multi-disciplinary team of analysts and engineers.
Scientific rigour and statistical methods are brought to the challenges of product development, creation, and improvement with an appreciation for the end user's behaviour as a data scientist at Google.
Data scientists at Google not only revolutionise search, but they regularly work on massive scalability and large-scale applications, storage solutions, and entirely new developer platforms around the world.
Eligibility Criteria 😁
Below given are the minimum and preferred qualifications for a data scientist at google-
Minimum Qualifications
Master's degree in a quantitative discipline, for example, Statistics, Bioinformatics, Operations Research, Economics, Computer Science, Computational Biology, Physics, Mathematics, Electrical Engineering, Industrial Engineering, or any other equivalent practical experience.
In data analysis-related fields, work experience is required of two years.
Experience with statistical software like R, MATLAB, Python, pandas, and database languages like SQL.
Preferred Qualifications
Ph.D. degree in a quantitative discipline.
Relevant work experience of four years, including expertise with statistical data analysis such as multivariate analysis, linear models, sampling methods, and stochastic models.
Large datasets machine learning applied experience.
For arriving at an answer using available data, experience translating and articulating business questions, and statistical techniques.
Demonstrated self-direction and leadership. Willingness to both learn new techniques and teach others.
For a given data analysis problem, demonstrate skills in selecting the right statistical tools. Practical written and verbal communication skills.
Salary And Perks 💸
Average Annual Salary
₹ 37,26,667 per year
Estimated Take Home Salary
₹ 2,23,812 - ₹ 2,32,794/month
The salaries of data scientists at google depend upon their years of experience, education, and location. The total compensation varies depending upon whether someone qualifies for a stock grant or annual bonus.
A salary of ₹5,82,658.88 a month is given to a data scientist intern at Google, and benefits like a housing stipend and health insurance for the duration of their internship.
A salary of ₹1,10,42,945.56 with cash bonuses and stock grants is earned by a data scientist with an undergraduate degree in computer science, mathematics, or statistics, with a few years of experience.
A salary of ₹1,25,49,860.65, in addition to cash bonuses and stock grants, is earned by Senior data scientists with master's degrees or PhDs in machine learning with more than five years of experience.
The salary figures mentioned above are subject to change.
Perks
Google takes care of its employees' meals, wellness, and healthcare, giving few reasons to leave its campuses.
Other benefits include-
Complete health insurance coverage, including on-site access to physical therapists, physicians, massage services, and chiropractors
Maternity leave of 18-22 weeks
Adoption assistance
Fertility assistance
On-site fitness centres and health classes
Personal and professional development support
Complimentary meals
401(K) matching
Dog-friendly office
Skills Required 💻
A base set of traits Google looks for in their employees with at top an additional set of qualifications.
Two or three years of industrial experience.
Master's degree.
In data analysis, two years of experience.
In statistical software experiences like R, Julia, MATLAB, Python, Pandas, and databases languages like SQL.
Experience using mathematical tools and techniques to get to a solution using available data.
For a given data analysis problem, the ability to select the appropriate statistical tool. Python.
Machine Learning
Statistics
Hadoop SPARK
Natural Language Processing
Algorithms
SQL (Structured Query Language)
Programming Languages
R
SAS (Statistical Analysis System)
Data scientists should know how to create graphs and charts. Tools for data visualization includes-
Here are the responsibilities of a data scientist at google-
You have to work with large and complex data sets. Solve non-routine, difficult analysis problems and apply advanced analytical methods as needed. Conduction of analysis that includes data gathering and requirements specification, analysis, processing, presentations, and ongoing deliverables.
To provide insight at scale, build and prototype analysis pipelines iteratively. You should develop knowledge of google data structure and metrics and advocate changes when needed for product development.
Interact cross-functionally, making business recommendations like cost-benefit, experiment analysis, and forecasting, with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Develop and research analysis, optimization methods, and forecasting to improve the quality of Googler's user-facing products.
Career Path As Data Scientist At Google 🎓
Get an undergraduate degree in data science. The first step is to obtain your undergraduate degree in Data Science or any other related field to become a data scientist. An entry-level bachelor's degree would be enough at a minimum. To prepare for your future as a data scientist, sharpening your skills to complete your work would be helpful.
You can study the following courses-
Computer science
Data science
Statistics
After completing your schooling, an internship will help you dive deeper into a life that will genuinely be of a data scientist. Note: 64% of the working data scientists pursued Bachelor's degrees.
Sharpen your skill set For becoming a successful data scientist, learn the necessary skills. It will make you an expert in your chosen field. You should know programming, machine learning techniques, data visualization, and reporting, big data platforms, risk analysis, communication, and other skills required to be efficient for a data scientist job.
Develop skills in artificial intelligence or machine learning, database management A great way to increase your opportunities for higher potential is to get specialized in a particular industry. Developing your skills, in particular, feels like artificial intelligence, database management, or machine learning can help open career paths. More opportunities and career paths emerge as this emerging career path grows, and specializing in your skills may be essential as you search for a data scientist job. Key components used by data scientists are sorting, analyzing, and managing large chunks of data.
Find a job Find a job or do some research work that may help you develop your career and skills towards becoming a data scientist. It is possible to work your way up to becoming a data scientist by entry-level positions like data engineer, statistician, or business intelligence analyst as you further expand your skills.
Further your education A bachelor's degree would be enough to get you started for the right job and earn real-world work experience, but a master's degree in Data science will be necessary to excel in your field. Continue to work in your entry-level position if you plan to pursue a master's degree. This job experience will make it more attractive for a high-level position.
Below given are some of the possible master's degree programs you can pursue-
Master of Applied Data Science.
Master of Data and Network Analysis.
Master of Computer Science in Data Science.
Master of Science in Data Science.
A master's degree can open up many additional career opportunities and increase your potential salary as a data scientist.
How To Apply?
Step 1: You can go to the careers page of google. And click on the ‘Jobs’ tab on the navigation panel on the top.
Step 2: Then, on the left panel, you can search for the ‘Data Scientist’ role. Press enter.
Step 3: You can also add filters like location, degree, etc. Here we have selected location, India.
Step 4: You can now select the job you want to apply for.
Watch this video to learn the strategy of cracking an interview -
Frequently Asked Questions 🤨
What is Google?
Google is an American multinational technology company that focuses on cloud computing, search engines, artificial intelligence, e-commerce, computer software, online advertising, quantum computing, and consumer electronics.
Who is a data scientist?
Data scientists use their analytic, programming, and statistical skills to collect, analyze, and interpret data sets to find and develop data-driven solutions to business challenges.
What is the work culture of Google like?
Google offers a healthy work environment. The latest technology is provided to the employees. Employees are deeply involved in solving the vast problems of the world with the best possible use of technology.
What is the role of a Data scientist at Google?
The role of a data scientist at google is mainly based on analytics focused on experimentation and metrics. This is different from product analyst and machine learning roles at Google, focusing on the engineering and product sides.
How many rounds are there for the Data scientist interview at Google?
There are 2 to 4 technical rounds followed by one HR round for a data scientist interview.
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