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.
organization | |
Post Name | Data Scientist, University Graduate, 2024 |
Salary | 20 LPA |
Experience | Freshers/Experiences |
Batch | 2024 |
Job Location | Work From Home |
Qualifications | Any Bachelor /Masters |
Official website | Click 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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