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Google Data Scientist Job Openings in Bangalore – Latest MNC Jobs


Google invites candidates for the post of Data Scientist at Bangalore locations. Candidates with Master's degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience are eligible to apply. Candidates kindly read all the details given below, before apply

Name of the Organization: Google

Notification ID: 82920494979785414

Positions: Data Scientist

Location: Bangalore

Salary: As per company Norms

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.

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.

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