Google is hiring for the position of Data Scientist in Bangalore, India. Candidates with a Master’s degree or 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 or PhD |
| Batch | 2023/ 2024 |
| Experience | Entry level |
| Location | Bangalore, India |
Key Responsibilities:
- Engage with extensive and intricate data sets to tackle challenging non-routine analysis problems, employing advanced problem-solving techniques as necessary.
- Perform comprehensive analysis involving data collection, requirements specification, processing, ongoing deliverables, and presentations.
- Formulate business recommendations, such as cost-benefit analyses, forecasting, and experiment analysis, presenting findings effectively to stakeholders at various levels through visual representations of quantitative data.
- Research and devise analyses, forecasts, and optimization methods to enhance the quality of Google’s user-facing products, including ads quality, search quality, end-user behavioral modeling, and live experiments.
- Assist in proposing, supporting, and shaping innovative data-driven and privacy-preserving advertising and marketing products, collaborating with engineering, product, and customer-facing teams.
- Explore methods to integrate large-scale experimentation, statistical-econometric techniques, machine learning, and social science methods to address business inquiries on a broad scale.
Eligibility Criteria:
- Possession of a Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or a related quantitative field, or equivalent hands-on experience.
- Previous internship or work experience involving data analysis.
- Proficiency in quantitative methodologies, particularly in statistics and causal inference methods.
- Familiarity with statistical software such as R, Python, S-Plus, SAS, or similar tools.
Preferred skills:
- Proficiency in statistical data analysis, encompassing linear models, multivariate analysis, stochastic models, and sampling methods.
- Hands-on experience with machine learning techniques applied to large datasets.
- Capability to derive insights from data and provide actionable recommendations.
- Aptitude for both teaching others and acquiring new techniques, including but not limited to, differential privacy.
- Skill in selecting appropriate statistical tools to address specific data analysis challenges.
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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