ANOVA, Data Visualization, Decision Science, Experimentation, Factor analysis, Network Optimization, Quantitative models, R Programming, Regression Analysis, SPSS Statistics, Stata, Statistical modeling
People Analytics Intern, PhD, Summer 2023 at San Francisco, CA, USA in-office roles
Minimum qualifications:
Preferred qualifications:
About the job
Participation in the internship program requires that you are located in the United States for the duration of the internship program.
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, DEI (diversity, equity and inclusion), leadership, employee well-being, hiring, performance management, performance development, personality, longitudinal data analyses, and social networks. We have strong research backgrounds, with PhDs in I/O Psychology, Organizational Behavior (micro & macro), Sociology, Social Psychology, Anthropology, Behavioral Economics, and related fields. To read more about some of our work, see a selection of our research here (https://goo.gl/Lu72G3) and check out this article in the New York Times Magazine (https://goo.gl/Wp9DWr), this one in Slate Magazine (http://goo.gl/MZy4nv), or this one in The Atlantic (http://goo.gl/JJSDm8).
Join us for a full-time, 12-14 week internship during Summer 2023 with start dates in May or June. Please complete your application before February 24, 2023.
To apply, you must submit all of the following materials:
If selected to move forward, you will be asked to provide a 1-2 presentation slides explaining some of your research/findings and why the findings might be useful to Google. Please prepare these slides for a business (i.e., non-academic) audience. Include visual representations of your results.
The US base salary range for this full-time position is $92,000-$103,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Responsibilities
Google LLC is an American multinational technology company that focuses on search engine technology, online advertising, cloud computing, computer software, quantum computing, e-commerce, artificial intelligence, and consumer electronics. It has been referred to as the -most powerful company in the world- and one of the world's most valuable brands due to its market dominance, data collection, and technological advantages in the area of AI.
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Waterloo, ON, Canada
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Waterloo, ON, Canada
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Waterloo, ON, Canada
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Waterloo, ON, Canada
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Zürich, Switzerland
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Beijing, China
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Zürich, Switzerland
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Paris, France
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Hyderabad, Telangana, India
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New Taipei, Banqiao District, New Taipei City, Taiwan
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New Taipei, Banqiao District, New Taipei City, Taiwan
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Xindian District, New Taipei City, Taiwan
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Atlanta, GA, USA
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Atlanta, GA, USA
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Austin, TX, USA
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Austin, TX, USA
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Boulder, CO, USA
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Chicago, IL, USA
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Chicago, IL, USA
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Dallas, TX, USA
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Durham, NC, USA
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Kirkland, WA, USA
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Los Angeles, CA, USA
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Los Angeles, CA, USA
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Madison, WI, USA
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Mountain View, CA, USA
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Mountain View, CA, USA
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Mountain View, CA, USA
2-4 year
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Mountain View, CA, USA
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Mountain View, CA, USA
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2-4 year
Mountain View, CA, USA
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Pittsburgh, PA, USA
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Pittsburgh, PA, USA
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Pittsburgh, PA, USA
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Redwood City, CA, USA
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Raleigh, NC, USA
4-6 year
Princeton, NJ, USA
4-6 year
Redwood City, CA, USA
2-4 year
Redwood City, CA, USA
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San Bruno, CA, USA
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Seattle, WA, USA
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Seattle, WA, USA
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Seattle, WA, USA
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Sunnyvale, CA, USA
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Sunnyvale, CA, USA
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Sunnyvale, CA, USA
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Sunnyvale, CA, USA
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Kirkland, WA, USA
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Kirkland, WA, USA
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Mountain View, CA, USA
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Mountain View, CA, USA
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Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
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2-4 year
Mountain View, CA, USA
2-4 year
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2-4 year
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Sunnyvale, CA, USA
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Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
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Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
2-4 year
Sunnyvale, CA, USA
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2-4 year
Sunnyvale, CA, USA
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