People Analytics, PhD Summer Internship, Summer
Google - San Francisco CA

Internship Category: Paid

Description
Description
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  • Note: By applying to this position your application is automatically submitted to the following locations: San Francisco, CA, USA; Mountain View, CA, USA
    Location: Bay Area, CA (Office: Mountain View, San Francisco).

    Timeframe: Summer 2018 (10-12 weeks).

    Application Deadline: February 13th, 2018 at 11:59pm PT.

    Please send the following to: people-analytics-phd-intern-hiring@google.com

    • 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 version).
    • Resume or CV including current research topics, statistical skills, experience analyzing survey data, relevant work experience, and recent publications/presentations (PDF version).
    • 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.
    • Fill out and submit this form.

    We are looking for Ph.D. students enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology, Strategy, Management, Sociology, Behavioral Economics, or a related field to join us on Google’s People Analytics team for the Summer of 2018.

    Our interns will collaborate with the People Innovation Lab (PiLab), a sub-team that conducts academically rigorous research on a broad array of issues facing Google, often in collaboration with external academics. To read more about some of our work, check out this article in the New York Times Magazine, this one in Slate Magazine, or this one in The Atlantic.

    Who you will work with

    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 strong research backgrounds, with Ph.D.s in I/O Psychology, Organizational Behavior (micro and macro), Social Psychology, and related fields.

    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 internship exposes you to the technology industry and provides 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.

    Responsibilities

    • 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.
    • Communicate findings and recommendations to influence leaders to take action on the results; write research briefs.
    • 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.

    Qualifications

    Minimum qualifications:

    • PhD and has completed 3 years of study, is post-comprehensive exams, but has not completed dissertation.
    • Enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Behavioral Economics, Personality Psychology, Social Psychology, Management, Strategy, Sociology, or a related field.
    • Experience with statistical, including fundamentals (e.g., ANOVAs and/or regressions) and with one or more approaches (e.g., factor analysis, network analysis, LASSO, HLM, SEM).
    • Experience designing, developing, implementing, and analyzing data from rigorous survey and experimental research; experience with internal consulting, client management, and project management.

    Preferred qualifications:

    • Experience with researching diversity and inclusion.
    • Experience with researching stress, well-being, and health.
    • Experience using R for statistical analysis and data visualization.
    • Experience with designing and analyzing data from longitudinal survey research.
    • Experience with conducting research on topics relevant to organizations.
    • Experience with longitudinal analyses.
    At Google, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other company location. Google is not responsible for any fees related to unsolicited resumes.
    Note: By applying to this position your application is automatically submitted to the following locations: San Francisco, CA, USA; Mountain View, CA, USA
    Location: Bay Area, CA (Office: Mountain View, San Francisco).

    Timeframe: Summer 2018 (10-12 weeks).

    Application Deadline: February 13th, 2018 at 11:59pm PT.

    Please send the following to: people-analytics-phd-intern-hiring@google.com

    • 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 version).
    • Resume or CV including current research topics, statistical skills, experience analyzing survey data, relevant work experience, and recent publications/presentations (PDF version).
    • 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.
    • Fill out and submit this form.

    We are looking for Ph.D. students enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Personality Psychology, Social Psychology, Strategy, Management, Sociology, Behavioral Economics, or a related field to join us on Google’s People Analytics team for the Summer of 2018.

    Our interns will collaborate with the People Innovation Lab (PiLab), a sub-team that conducts academically rigorous research on a broad array of issues facing Google, often in collaboration with external academics. To read more about some of our work, check out this article in the New York Times Magazine, this one in Slate Magazine, or this one in The Atlantic.

    Who you will work with

    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 strong research backgrounds, with Ph.D.s in I/O Psychology, Organizational Behavior (micro and macro), Social Psychology, and related fields.

    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 internship exposes you to the technology industry and provides 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.

    Responsibilities

    • 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.
    • Communicate findings and recommendations to influence leaders to take action on the results; write research briefs.
    • 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.

    Qualifications

    Minimum qualifications:

    • PhD and has completed 3 years of study, is post-comprehensive exams, but has not completed dissertation.
    • Enrolled in a program in Industrial/Organizational Psychology, Organizational Behavior, Behavioral Economics, Personality Psychology, Social Psychology, Management, Strategy, Sociology, or a related field.
    • Experience with statistical, including fundamentals (e.g., ANOVAs and/or regressions) and with one or more approaches (e.g., factor analysis, network analysis, LASSO, HLM, SEM).
    • Experience designing, developing, implementing, and analyzing data from rigorous survey and experimental research; experience with internal consulting, client management, and project management.

    Preferred qualifications:

    • Experience with researching diversity and inclusion.
    • Experience with researching stress, well-being, and health.
    • Experience using R for statistical analysis and data visualization.
    • Experience with designing and analyzing data from longitudinal survey research.
    • Experience with conducting research on topics relevant to organizations.
    • Experience with longitudinal analyses.
    At Google, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other company location. Google is not responsible for any fees related to unsolicited resumes.
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