Google Recruitment 2024: Google announces the Hiring of a Data Scientist, Interested and eligible candidates can go through this post for further details about Google Recruitment 2024. Apply As soon as possible before the link expires.
Here we provide information about the company Name, Job Role, Salary, Qualifications, and Job Responsibilities.
Job Applicants can read all the details of the online job application, you can register through the link given below.
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Servicenow Off Campus Drive 2023:
| Company Name | |
| Post Name | Data Scientist |
| Salary | up to ₹10 LPA* (Glassdoor) |
| Experience | Fresher/Experienced |
| Job Location | Bangalore |
| Batch | 2024 & Below |
Job Responsibilities:
- Work with large complex data sets, solve difficult non-routine analysis problem, and apply advance problem solving methods as needed. Conduct analysis that includes data gathering and requirements specification,processing, analysis, ongoing deliverables ans presentations.
- Make business recommendations (e.g. cost benefit, forecasting, experimental analysis) with effective presentations of finding 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 user friendly products such as ADS quality, search quality, end-user behavior 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.
Preferred Qualification:
- 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.
Minimum Qualification:
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).
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 going everyday.
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