Google Careers Off Campus Drive 2024 | For Data Scientist, Salary up to 25 LPA

Google Careers Off Campus Drive 2024:- Google is employing 2024 university graduates as data scientists. Interested parties may see the requirements and submit an application by clicking the link at the bottom of the post.

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About Google:-

Google Careers Off Campus Drive 2024

Required Qualification:-

• Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or related quantitative subject, or equivalent practical experience.

IBM Hiring Freshers Drive 2024:- Apply Link

Job Responsibilities:-

• Work with huge, intricate data sets, resolve challenging non-routine analysis issues, and utilize sophisticated problem-solving techniques as necessary. Perform analysis that involves obtaining data, defining requirements, processing, analyzing, 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.
• To raise the caliber of Google’s user-facing products—such as search quality, advertisements quality, end-user behavioral modeling, and live experiments—research, build, analyze, forecast, and optimize approaches.
• 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.

Skills Required:-

• Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or related quantitative subject, or equivalent practical experience.
• 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 program).
• 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.

Selection Process For Drive:-