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For its Bangalore, Karnataka, India location, Google is now seeking applicants for the position of Data Scientist, University Graduate, 2024. The following contains all of the information on Google hiring data scientists.

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About Google

Google is a multinational technology firm based in the United States that specialises in computer software, cloud computing, e-commerce, artificial intelligence, internet advertising, quantum computing, and computer hardware. Because of its market domination, data collection capabilities, and technological advantages in the field of artificial intelligence, it has been called to as “the most powerful company in the world” and one of the most valuable brands in the world. Together with Amazon, Apple Inc., Microsoft, and Meta, Alphabet Inc., the parent company of Google, is one of the Big Five Tech corporations.

Google Hiring Data Scientist Details

Job Role: Data Scientist, University Graduate, 2024

Company Website:

Qualification: Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience.

Batch: 2024 and before

Experience: Freshers/Experience

Salary: As per company standardsx

Job Location: Bangalore

Last Date: ASAP

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Roles & responsibilities

  • Work with huge, intricate data sets, resolve challenging non-routine analysis issues, and utilise sophisticated problem-solving techniques as necessary. Perform analysis that involves obtaining data, defining requirements, processing, analysing, and creating continuing deliverables and presentations.
  • Using visual displays of quantitative data, provide business advice (e.g., cost-benefit, forecasting, experiment analysis) and effectively deliver findings to many levels of stakeholders.
  • Investigate, create analysis, predict, and optimise strategies to raise the calibre of Google’s user-facing products, including live experiments, end-user behavioural modelling, search quality, and ad quality.
  • Contribute to the development of novel, data-driven, privacy-preserving marketing and advertising products by assisting technical, product, and customer-facing teams.
  • To solve business questions at scale, figure out how to mix statistical-econometric, machine learning, large-scale experimentation, and social science methodologies.

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Required Skills & Qualifications

  • Knowledge of statistical data analysis techniques, including sampling techniques, multivariate analysis, stochastic models, and linear models.
  • Familiarity with big dataset machine learning.
  • The capacity to provide recommendations for action based on data conclusions.
  • The capacity to learn new skills, like differential privacy, and to instruct others.
  • The capacity to choose the appropriate statistical tools for a given data analysis task.
  • An equivalent combination of relevant practical experience and a master’s or doctoral degree in statistics, biostatistics, operations research, physics, economics, or a related quantitative area.
  • Relevant professional experience or internship in the data domain. knowledge of the causal inference process and quantitative approaches involving statistics.
  • Familiarity with statistical software (such as R, Python, SAS, S-Plus, or a comparable programme).

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