Google, a global technology giant, is currently seeking fresh candidates for the position of Data Scientist, University Graduate, 2024 in Bangalore. This role requires candidates to possess a Master’s degree or PhD in disciplines such as Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative fields. While prior experience is not mandatory, Google is looking for individuals with a strong academic background and a passion for data analysis and problem-solving. As a Data Scientist at Google, you will have the opportunity to work with cutting-edge technologies and contribute to innovative projects that impact millions of users worldwide.
Company Name: Google
Job Role: Data Scientist, University Graduate, 2024
Education Required: Master’s degree or PhD in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline
Experience Required: Freshers
Job Location: Bangalore
Role and 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.
Required Skills and 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 methods.
- Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar).
- 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.
