Google is hiring for the position of Data Scientist in Bengaluru, India. Candidates with a Master’s degree/ PhD are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | |
| Position | Data Scientist |
| Qualifications | Master’s degree/ PhD |
| Batch | 2022/ 2023/ 2024/ 2025 |
| Experience | Freshers |
| Location | Bengaluru, India |
Key Responsibilities:
- Work with large, complex datasets to solve challenging, non-routine analytical problems, applying advanced problem-solving methods as necessary.
- Conduct analyses that include data gathering, requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Provide business recommendations (e.g., cost-benefit analysis, forecasting, experimental analysis) and effectively present findings to various stakeholders through visual displays of quantitative information.
- Research and develop analytical methods to forecast and optimize the quality of Google’s user-facing products, including ads quality, search quality, end-user behavioral modeling, and live experiments.
- Collaborate with engineering, product, and customer-facing teams to suggest, support, and shape new data-driven and privacy-preserving advertising and marketing products.
- Explore ways to integrate large-scale experimentation, statistical-econometric techniques, machine learning, and social science methods to address business questions at scale.
Eligibility Criteria:
- Master’s degree in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or a similar quantitative discipline, or equivalent practical experience.
- Experience with statistical software, such as R, Python, S-Plus, SAS, or similar tools.
- Internship or work experience involving data analysis, with expertise in quantitative methodologies, including statistics and causal inference methods.
Preferred Skills:
- PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or a similar quantitative discipline, or equivalent practical experience.
- Experience in statistical data analysis techniques, including linear models, multivariate analysis, stochastic models, and sampling methods.
- Experience applying machine learning techniques on large datasets.
- Ability to draw meaningful conclusions from data and provide actionable recommendations.
- Capability to teach others and learn new techniques, such as differential privacy.
- Proficiency in selecting the appropriate statistical tools based on specific data analysis problems.
About Company:
A problem isn’t truly solved until it’s solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
How To Apply?
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- Scroll down and press the Click Here button.
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- Fill the details with the information provided.
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