While many summer internships have deadlines in January through April, these two have deadlines in November and December. We will post the full list of internships in December.
Google LLC
Seattle, Washington; Kirkland, Washington; Bay Area, California; and New York City, New York
Type of students: PhD
Deadline for applying: November 23, 2018
Role: Quantitative Analyst/Data Scientist Intern, 2019
Google’s statisticians and data scientists/quantitative analysts work within our software engineering organization, including life sciences, geo, project aura, technical infrastructure, and advertising. We analyze huge sets of data and continually run live experiments to help drive critical decisions at Google. We support the development of innovative, highly scalable, next-generation technologies through deep research and advanced analysis.
Join us for a unique 12–14-week internship in 2019 with start dates in January, May, and June.
To apply: You must submit all of the following materials:
- Updated résumé with relevant coding language(s) and any technical experience or projects
- Transcript, unofficial or official, in English
Responsibilities
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to Google products.
- Provide research on topics including Google’s business model and novel search techniques.
- Produce quantitative and qualitative modeling of business dynamics, user behavior, etc.
Minimum Qualifications
- Currently pursuing a PhD in a quantitative discipline (e.g., statistics, biostatistics, computer science, applied mathematics, operations research, economics) or another discipline involving experimental design and quantitative analysis of data
- Experience using technology to work with data sets such as scripting, Python, statistical software (R, SAS, or similar)
- Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods
- Available to work full-time for 12–14 weeks
Preferred Qualifications
- Available to start in January, May, or June 2019 and return to a degree program after the internship ends
- Strong track record of developing intellectual capital such as published works
- Authorization to work in the United States
Contact: google.com/students. Students can look up the internship role and apply directly.
RAND Corporation
Santa Monica, California; Washington, DC, Pittsburgh, Pennsylvania; Boston, Massachusetts
Number of Positions: Multiple
Type of Student: Doctoral students who have completed at least two years of their program and will not graduate prior to September 2019
Deadline for Applying: December 4, 2018
RAND’s Summer Associate Program introduces outstanding doctoral students to RAND, an institution that conducts research on a wide range of national security problems and domestic and international social policy issues. The program runs in the summer months only. Summer associates work at RAND full-time for a 12-week period. Positions are available in RAND’s major offices. All summer associates are co-located with project mentors. RAND is interested in students who are currently enrolled in PhD programs in statistics, biostatistics, or applied statistics. Candidates should have strong theoretical training and empirical skills, including experimental design, sampling, and modeling. Experience with causal inference, multilevel modeling, social network analysis, spatial statistics, and survey methods are also strongly desired. Programming in R, SAS, or WinBUGS is useful.
RAND accepts applications through its website. Details can be viewed on their Summer Associate Program web page. Applications mailed or emailed directly to RAND or our summer director will not be considered.
Contact: Summer_Director@rand.org
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