Data Scientist, University Graduate, 2025

Google is a global technology leader that develops innovative products and services used by billions of people.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS

Description For Data Scientist, University Graduate, 2025

Google is seeking a Data Scientist to join their team as a University Graduate for 2025. This role focuses on leveraging data to drive decision-making across the organization. As a Data Scientist, you'll work with large complex datasets to improve Google's products, collaborating with Engineers, Product Managers, and various teams. You'll apply statistical methods to measure quality, improve consumer products, and understand user behavior. The role requires expertise in statistical analysis, machine learning, and the ability to translate data insights into actionable recommendations. You'll be part of Google's mission to enhance advertising efficacy, optimize network infrastructure, and study user behavior. The position offers the opportunity to work with cutting-edge technology and contribute to products that impact billions of users worldwide. Google provides a diverse and inclusive work environment, committed to building a representative workforce and creating a culture of belonging.

Last updated 3 months 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

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