Google Data Scientist Salary in India
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FreeIntroduction
The field of Data Science is booming in India. Given how data-driven decision-making has become imperative for all businesses, top industries like Healthcare, Media, Retail, Digital Marketing, and Cyber Security are hiring data scientists in abundance. With the increased demand for Data Scientists and the need for Data Science and analytics to enhance business growth, top companies like Google are offering high pays to Data Scientist jobs across India. But have you ever wondered what the actual salary of a Google Data Scientist in India is? If working in a tech giant like Google as a Data Scientist is your dream job, read this article to take a deep dive into the Salary, role, job responsibilities, and scope of a Data Scientist working at Google in India.
Roles Performed by Data Scientists at Google
If you join Google as a Data Scientist, your job role and responsibilities will entirely depend on the particular team that you have joined. You may work on several different projects and perform several different functions. From applying your analytical skills to different parts of the business to using your knowledge of programming languages like HTML, Python, SQL, C++, or Java for building complex applications from the beginning, a Data Analyst can have several different job roles when working in Google.
These are some of the common and key job responsibilities of a Data Scientist working at Google:
The key job responsibility of a Data Scientist (quantitative analyst) working at Google is to analyze, evaluate, and enhance Google's products in collaboration with a team of analysts and engineers on different platforms.
As a Data Scientist at Google, you will regularly work on storage solutions, large-scale applications, and entirely new platforms for developers from across the globe.
You will also be responsible for bringing scientific judgment, statistical methods, and strategies to the challenges of product creation, development, and improvement with an appreciation for customer behaviour.
Salary Leveling System of Data Scientists at Google
The data scientist's salary in Google India depends on the qualifications of the candidates, the years of experience they have, their education, and the job location.
Like other tech giants such as Apple, Amazon, and Facebook, there is a levelling system in Google that determines the promotions and salary brackets of all the employees working at Google. Since the tech giant has not made the system public, former and current employees have noted that the letter L coupled with a number is used to connote an employee’s level.
| Level | Description |
| Interns | If you are an entry-level data scientist or a recent college graduate, you will likely join Google at this level. |
| L3 | If you are an entry-level data scientist or a recent college graduate, you will likely join Google at this level. |
| L4 | Data Scientist at the mid-senior level, minimum of three years of industry experience and a master's degree is a part of this level in Google. |
| L5 | If you have more than 5 years of experience, you will join Google at L5. |
| L6 | If you are a data scientist with more than ten years of experience and have managed teams on a large scale, you will join Google at this level. |
Data Scientist Salary at Google - Entry Level
The average annual salary of an entry-level Data Scientist at Google India is 12 LPA. However, many factors like the qualifications and education of the candidate, years of experience, and job location affect the average annual salary of an entry-level Data Scientist at Google India.
The entry-level data scientists at Google must have in-depth knowledge of programming languages like Python, SQL, PHP, or Java.
Data Scientist Salary at Google - Senior-level
Suppose you are a data scientist with more than 8 years of industry experience. In that case, you can get an average annual salary of 35.18 LPA as a senior-level data scientist at Google India. However, it also depends on the job location, qualifications, etc.
The senior-level data scientists in Google must have a Bachelor’s degree in computer science, data science, statistics, mathematics, engineering, economics, or a related field.
Stock Options
Google is one of the top companies in the world, which is known for awarding stocks to its employees. Stocks are awarded either at the time of recruitment or for rewarding them for their excellent performance throughout the year. Employees of the tech giant partake in the annual grant refresher program only if they have met or exceeded the year’s expectations.
Benefits of Working in Google as a Data Scientist
Apart from an excellent pay scale, there are several other perks of working at Google.
Here are the top benefits that Google offers its employees:
- Maternity leave of 18-22 weeks
- Adoption assistance
- Dynamic working environment
- Dog-friendly offices
- Personal and professional development support
- 401K matching
- Gyms and healthcare centres
- Complimentary food
Top Skills at Google for Data Scientists
If you want to become a data analyst at Google, you must hold a Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics) and have basic knowledge of statistical softwares like R, Python, MATLAB, Pandas and NumPy.
If working at Google as a data scientist is your dream job, you can start by taking the free live masterclass by Data Science Expert Mudit Goel organised by Scaler Academy to kick-start your journey as a successful data scientist.
Other Popular Employers for Data Scientists
Apart from Google, which offers the best salary packages to Data Scientists from across the globe, there are other tech giants like Amazon, Facebook, Microsoft, EY, and Deloitte that hire Data Scientists on good packages.
| Companies | Average Annual Salary |
| Tata Consultancy Services | ₹7,30,563 |
| IBM | ₹10,96,497 |
| Amazon | ₹41,70,000 |
| Accenture | ₹13,06,811 |
| Microsoft | ₹34,00,000 |
FAQs
What is the salary of a Data Scientist at Google?
The average annual salary of a Data Scientist at Google is ₹ 37,26,667.
What are the top skills required to work as a Data Scientist at Google?
The top skills required to work as a Data Scientist at Google are Machine learning, Data Visualization, Mathematics, Statistical analysis and computing, and processing large data sets. If you want to master all these skills and get a Data Scientist job at Google, take up Scaler Academy’s specialized Data science program that includes hands-on training by industry experts as well as extensive practical and theoretical exposure.
How to become a data scientist at Google?
If you want to become a data analyst at Google, you must hold a Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics) and have basic knowledge of statistical software like R, Python, MATLAB, and pandas.
How do I find the best data scientist jobs?
If you want to find the best data scientist jobs, you can start by applying for the vacancies in top companies like Google, Dell, Microsoft and Infosys through their website or platforms like LinkedIn. Here you can find the most likely interview questions to secure a job as a Data scientist at Google.
Conclusion
Data Science is an extensively growing field, and data scientists from across the globe are earning excellent salaries because of the increased demand for data scientists and the importance of data science in making crucial business decisions. If you are passionate about becoming a data scientist, start today by taking up Scaler Academy’s all-encompassing data science program.