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Are you ready to join one of the most innovative companies in the world? Google is looking for talented individuals to join its team as Data Scientists. Whether you’re a fresh graduate eager to kickstart your career or an experienced professional seeking new challenges, Google has opportunities for you. Here’s everything you need to know about applying for a data scientist role at Google.

Google Hiring for Data Scientist

Position: Data Scientist

Job Location: Bangalore, Karnataka, India

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.

Job 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.

How to Apply

Ready to take the next step in your career? Visit the Google Careers website to explore current job openings for data scientists. You can search for opportunities based on your location, experience level, and areas of interest.

For more details and to Apply click here

Be sure to review the job descriptions carefully and tailor your application to highlight your relevant skills and experiences.