Data Scientist, University Graduate, 2025

Google is a global technology company that drives decision-making through data analysis and innovation.
Data
Entry-Level Software Engineer
Contact Company
5,000+ Employees
AI

Description For Data Scientist, University Graduate, 2025

Google is seeking a Data Scientist to join their team in Bengaluru, focusing on analyzing and improving Google's products through data-driven decisions. This role combines statistical analysis, machine learning, and business strategy to enhance Google's advertising efficacy, search quality, and user experience. As a Data Scientist, you'll work with large-scale datasets, collaborate with cross-functional teams, and apply advanced analytical methods to solve complex problems.

The position requires expertise in statistical software and quantitative methodologies, with a strong educational background in a quantitative field. You'll be responsible for conducting sophisticated data analysis, making business recommendations, and developing new methodologies to improve Google's user-facing products.

This is an excellent opportunity for recent graduates with a Master's degree to work at one of the world's leading tech companies. You'll be part of a team that shapes Google's technical and business strategies through data analysis. The role offers exposure to cutting-edge technologies, complex analytical challenges, and the chance to impact products used by millions globally.

Working at Google means joining a culture of innovation where your analytical skills will directly influence product development and business decisions. You'll collaborate with talented engineers, product managers, and other stakeholders while having access to some of the most extensive and interesting datasets in the technology industry.

Last updated a month ago

Responsibilities For Data Scientist, University Graduate, 2025

  • Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced problem-solving methods
  • Make business recommendations with effective presentations of findings at multiple levels of stakeholders
  • Research and develop analysis, forecast and optimize methods to improve the quality of Google's user facing products
  • Help suggest, support and shape new data-driven and privacy-preserving advertising and marketing products
  • Find ways to combine large-scale experimentation, statistical-econometric, machine learning and social-science methods

Requirements For Data Scientist, University Graduate, 2025

Python
  • Master's degree in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience
  • Experience with statistical software (e.g., R, Python, S-Plus, SAS, or similar)
  • Internship or work experience with data
  • Experience in quantitative methodologies with statistics and causal inference method

Interested in this job?

Jobs Related To Google Data Scientist, University Graduate, 2025

Technical Program Manager I, Capacity Planning and Automation, Google Workspace

Technical Program Manager role at Google focusing on capacity planning and automation for Google Workspace, requiring technical expertise and project management skills.

Technical Program Manager, Data Management

Technical Program Manager position at Google focusing on data management, ETL processes, and system integration, offering competitive compensation and benefits.

Technical Solutions Engineer Associate, Data Analytics

Technical Solutions Engineer Associate position at Google Cloud Platform, focusing on data analytics and customer technical support with 2+ years of experience required.

Technical Program Manager, Data Management

Technical Program Manager position at Google focusing on data management and infrastructure development.

Technical Solutions Engineer Associate, Data Analytics

Technical Solutions Engineer role at Google Cloud focusing on data analytics, requiring programming skills and customer support experience to help enterprises leverage cloud technology.