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Google is Hiring For Data Scientist ,University Graduate | Salary Upto 10 LPA

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GOOGLE Recruitment Data Scientist

About Company

Google is an American search engine company, founded in 1998 by Sergey Brin and Larry Page. Since 2015, Google has been a subsidiary of the holding company Alphabet, Inc. More than 70% of worldwide online search requests are handled by Google, placing it at the heart of most Internet users’ experience. It is one of the world’s most prominent brands. Its headquarters are in Mountain ViewCalifornia.

Google began as an online search firm, but it now offers more than 50 Internet services and products, from e-mail and online document creation to software for mobile phones and tablet computers. In addition, its 2012 acquisition of Motorola Mobility put the company in the position to sell hardware in the form of mobile phones. Google’s broad product portfolio and size make it one of the top four influential companies in the high-tech marketplace, along with AppleIBM, and Microsoft. Despite its myriad of products, the original search tool remains the core of Google’s success. In 2016 Alphabet earned nearly all of its revenue from Google advertising based on users’ search requests.

Google Data Scientist Recruitment Details

Company Google
Post Data Scientist
Degree Master’s Degree/PhD
Branch Statistics/Biostatistics/Physics
/Operations Research/Economics
/Applied Mathematics
Batch 2020/2021/2022/2023 Batch
CTC Rs 10 LPA (Expected)
Location Bangalore

Job Description

Responsibilities

  • Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced problem-solving methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.
  • Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Research and develop analysis, forecast and optimize methods to improve the quality of Google’s user facing products such as ads quality, search quality, end-user behavioral modeling and live experiments.
  • Help suggest, support and shape new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams.
  • Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods to answer business questions at scale.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google’s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google’s practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.

As a Data Scientist, you will evaluate and improve Google’s products. You will collaborate with a multi-disciplinary team of Engineers and Analysts on a wide range of problems, using statistical methods for the issues of measuring quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers.

In this role, you will be working on Ads Insights and Measurement. You will develop, evaluate and improve the entire range of Google’s advertising products including Search, Display, Apps, TV and Video (e.g., YouTube). You will also play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising.

Who Can Apply

Minimum qualifications:

  • Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.
  • Relevant internship or work experience with data. Experience in quantitative methodologies with statistics and causal inference method.
  • Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).

Preferred qualifications:

  • Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Experience with machine learning on large datasets.
  • Ability to draw conclusions from data and recommend actions.
  • Ability to teach others and learn new techniques such as differential privacy.
  • Ability to select the right statistical tools given a data analysis problem.

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Placement Materials

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Apptitude Study Material :- Coming Soon

Selection Process

Round 1

In first round there will Aptitude Round where question related to check capabilities of the candidate through variety of questions like

  • Verbal reasoning questions. …
  • Verbal comprehension questions. …
  • English language questions. …
  • Questions testing abstract reasoning.

Round 2

The second round is generally a Technical Round in which all the technical related question were asked to candidate according to job role. In this generally the interviewer checks candidate technical ability the depth and breadth of candidaate knowledge

Round 3

Round 3 is a HR round in some cases TR and HR round are occur concurrently. This round is conducted by Human Resource Professional who ensures that you are the right candidate for the role


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