PhD Summer Intern, People Analytics, Summer 2019, San Francisco, CA, USA
Interested candidates please submit the following with the application :
- Cover letter describing why you are interested in our internship and how your research, work, and extracurricular experience will help you fulfill the specific responsibilities listed below (PDF preferred) ;
- Resume or CV including current research topics, statistical skills, experience analyzing survey data, relevant work experience, and recent publications/presentations (PDF preferred) ;
- Please note, if selected to move forward, you will be asked to provide a 1-2 presentation slide(s) (i.e., using Google Slides or PowerPoint) explaining some of your research/finding(s) and why the finding(s) might be useful to Google. Please prepare these slides for a business (i.e., non-academic) audience. Include visual representation(s) of your results.
Note : By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; San Francisco, CA, USA
Qualifications :
Minimum qualifications :
- Mid- to advanced-level PhD student (i.e., you have completed three years of study and your comprehensive exams, but have not completed your dissertation) enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology, Management, Strategy, Sociology, Behavioral Economics, or a related field ;
- Experience with statistical, including fundamentals (e.g., ANOVAs and/or regressions) and with one or more advanced approaches (e.g., factor analysis, network analysis, LASSO, HLM, SEM) ;
- Experience designing, developing, implementing, and analyzing data from survey and experimental research ;
- Experience in R, SPSS, STATA, and/or other statistical languages.
Preferred qualifications :
- Experience conducting applied research on topics relevant to organizations ;
- Experience designing and analyzing data from longitudinal survey research ;
- Experience using R for statistical analysis and data visualization ;
- Expertise in one of the following areas but not limited to: Individual and team-level performance and productivity, Individual differences, Diversity and inclusion, Selection and assessment, including relevant psychometric methods, Decision science and behavior change, and Quantitative text analysis.
À propos de cette offre d’emploi :
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, employee development, diversity and inclusion, leadership, employee well-being, hiring, personality, and longitudinal data analysis. We have research backgrounds, with Ph.D.s in I/O Psychology, Organizational Behavior (micro and macro), Social Psychology, and related fields. To read more about some of our work, see a selection of our research here and check out this article in the New York Times Magazine, this one in Slate Magazine, or this one in The Atlantic.
The idea for Gmail began with 1 Googler. Today it has more than 425 million 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.
Responsabilités :
- 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.