Google Hiring Data Scientist, University Graduate, 2024

Google hiring Data Scientist, University Graduate, 2024. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.

organizationGoogle
Post NameData Scientist, University Graduate, 2024
Salary20 LPA
ExperienceFreshers/Experiences
Batch2024
Job LocationWork From Home
QualificationsAny Bachelor /Masters
Official websiteClick here

Google Hiring 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.

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 methods.
  • 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, and 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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Age – For this recruitment, the candidate must be at least 18 years old. Candidates aged less than eighteen years cannot apply for this recruitment.

Selection Method – the candidate will be selected based on shortlisting/ assessment tests and virtual/ telephonic interviews. If a candidate is shortlisted according to their desired age and qualification, he/she will be intimated via a registered mobile number or email ID.

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