We are a group of social scientists who conduct experimental, survey and archival research to inform people-related business decisions. Example content areas include, but are not limited to: decision-making, diversity and inclusion, leadership, employee well-being, hiring, personality, longitudinal data analyses and social networks. We have research backgrounds, with PhD's in I/O Psychology, Organizational Behavior, Sociology, Social Psychology, Anthropology and related fields.
The idea for Gmail began with 1 Googler. Today it has more than 1 billion users and counting.
At Google, one Googler can make a huge impact, and it's no different with our interns--they are key players in our daily innovation. As an intern, you'll have the opportunity to work on projects core to Google's business, whether it be Sales, Enterprise, Finance, People Operations (HR), Legal, Trust and Safety, or Marketing. Our intern recruitment team will determine where you fit best based on your CV and the preferences you indicate on the application form.
Our internships expose you to the technology industry, as well as provide opportunities for personal and professional development. From being challenged, to collaborating with a team, join our team to make an impact.
Note: duration and start date of internship vary depending on the position.
Advanced Doctoral (PhD) student (i.e., you have completed three years of study and your comprehensive exams but have not completed your dissertation) who is enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology or a related field.
Experience designing, developing and conducting rigorous survey and/or experimental research.
Experience analyzing and manipulating data in R, SPSS, STATA and/or other statistical languages.
Experience conducting applied research in organizations.
Experience with statistical analysis, including fundamentals (e.g., ANOVAs and/or regressions) and with one or more advanced approaches (e.g., factor analysis, network analysis, HLM, SEM).
Experience using R for statistical analysis and data visualization.
Topical expertise in one of the following areas: individual and team-level performance and productivity, individual differences (e.g., personality traits, behaviors, well-being), diversity and inclusion, selection and assessment, decision science and behavior change and/or quantitative text analysis.
Returning to a degree program after the internship ends.
Authorization to work in the United States.
Work with the People Analytics team to design and implement new studies, analyze data and report on results of research initiatives to a business audience.
Conduct advanced statistical analysis (e.g., correlation, regression, factor analysis, T-test, ANOVA, SEM, HLM, LASSO, random forests) using survey and archival data with analyses ideally conducted in R.
Communicate findings and recommendations to influence leaders to take action on the results.
Write research briefs.