Google Off Campus Drive 2025: Google a leading company, is set to conduct an Off Campus Drive in 2025, offering opportunities to join as Google Data Scientist for Bangalore and Hyderabad Office. A student with having bachelor’s degree in various disciplines can apply for the Google off campus drive 2025. 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 2025:
| Company Name | |
| Post Name | Data Scientist |
| Expected Salary | up to ₹18 LPA * |
| Job Location | Bangalore/ Hyderabad |
| Experience | Experienced |
| Website | Google.com |
| Last date to apply | Apply ASAP |
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Google Off Campus Responsibilities:
- Guide data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management.
- Collaborate with customers to resolve their problems and identify the statistical techniques that can solve the problem, and own the development of modeling framework.
- Engage with stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
- Work with customer and internal teams to translate data and model results into insights for selection making, and work with clients to integrate recommendations into business processes.
- Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale.
Google Off Campus Eligibility Criteria:
- Bachelor’s degree in Statistics, Engineering, Science, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems with coding (e.g., Python, R, SQL), querying databases or statistical analysis.
Preferred skill:
- Experience in delivering insights from Machine Learning to customers (e.g., problem scoping/definition, modeling, interpretation).
- Experience in deploying digital analytics and measurement solutions.
- Experience in Computer Vision and Natural Language Processing (NLP) with the ability to bring Generative AI technologies to customer problems in marketing.
- Experience in leveraging data insights into storytelling for business stakeholders.
- Knowledge of the statistical algorithms used in Marketing Analytics
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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:
- 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.
- 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.
- 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.
- 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
- 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.
- Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
- 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?
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Industry leading healthcare
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Educational resources
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Savings and investments
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Maternity and paternity leave
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Opportunities to network and connect
How to Apply for Google Off Campus Drive 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- 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.
