Currently enrolled in a PhD program in statistics, biostatistics, computer science, mathematics, operations research, or a related technical field involving experimental design and quantitative analysis of experimental data, and in your penultimate year of study.
Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.).
Nice to haves:
Experience with causal inference methods.
Experience developing intellectual capital such as peer-reviewed publications.
Ability to complete an internship of 13 weeks in Poland starting between May-July 2027.
What you'll be doing:
Provide research on topics including Google's business model and search techniques.
Produce quantitative and qualitative modeling of business dynamics, user behavior, and more.
Identify areas for further investigation as well as creating innovative methods of analysis.
Perks and benefits:
Google is and always will be an engineering company.
Engineers at Google work on challenging projects that impact millions of users worldwide.
Learn about transfer compensation, location changes affect compensation, and benefits at Google.
Competitive total compensation including salary and bonus.