Google Hiring For 2024 | Data Scientist | Apply Here !!

Minimum Qualifications:

• Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or a similar quantitative discipline, or equivalent practical experience.
• Relevant internship or work experience with data, including experience in quantitative methodologies with statistics and causal inference methods.
• Experience with statistical software such as R, Python, S-Plus, SAS, or similar.

Preferred Qualifications:

• Experience with statistical data analysis techniques, including 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.

Responsibilities:

• Work with large complex datasets, solve difficult non-routine analysis problems, and apply advanced problem-solving methods as needed.
• Conduct analysis including 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 optimization 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.