Google Off Campus Drive 2024: Google a leading company, is set to conduct an Off Campus Drive in 2024, offering opportunities for freshers to join as Google Data Scientist for Bangalore Office. A student with having bachelor’s degree in various disciplines can apply for the Google off campus drive 2024. Interested and eligible candidates can read more details below.

About Google:

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. 

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Google Off Campus 2024:

Company Name Google
Post Name Data Scientist
Expected Salary up to ₹10 LPA *
Job Location Bangalore
Experience Freshers/Experience 
Website  Google.com
Last date to apply Apply ASAP

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Google Off Campus 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.

Google Off Campus Eligibility Criteria:

  • 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 skill:

  • 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

Click here for HR Interview Questions and Answers

Google off Campus Selection Process:

The Google selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

  1. Online Application: The process begins with candidates submitting their applications through Google official careers website. Providing accurate and comprehensive information on your resume and application is essential.
  2. Resume Screening: The Google recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
  3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
  4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities
  5. Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
  6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
  7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the Google onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the Google selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join Google?

  • Industry leading healthcare
  • Educational resources
  • Savings and investments
  • Maternity and paternity leave
  • Opportunities to network and connect

How to Apply for Google Off Campus Drive 2024?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section.

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What is the role of a Data Scientist at Google?

A Data Scientist at Google works with large complex data sets, solves difficult non-routine analysis problems, and applies advanced problem-solving methods as needed.

What is the expected salary for a Data Scientist at Google?

The expected salary for a Data Scientist at Google is up to ₹10 LPA.

What are the key responsibilities of a Data Scientist at Google?

Responsibilities include conducting analysis, making business recommendations, researching and developing analysis methods, and collaborating with teams to shape new data-driven products.

What are the eligibility criteria for the Data Scientist position at Google?

A Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline is required. Relevant internship or work experience with data is also preferred.

Is the Data Scientist position at Google open to freshers?

Yes, the position is open to both freshers and experienced candidates.

What are the preferred skills for the Data Scientist position at Google?

Preferred skills include experience with statistical software (e.g., R, Python, S-Plus, SAS), statistical data analysis, machine learning on large datasets, and the ability to draw conclusions from data and recommend actions.

What is the selection process for the Data Scientist position at Google?

The selection process includes online application, resume screening, online assessments, technical interviews, offer, background check, and onboarding.

Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.