Data Scientist, Research Intern, PhD, Summer 2024 - United States
Relocation support offered to candidates not located in one of the hiring locations.
Please complete your application before December 15th, 2023.
Participation in the internship program requires that you are located in the United States for the duration of the internship program.
This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume.
- Please ensure you’ve listed your anticipated graduation date (in MM/YY)
- In the “Education Section:” attach a current or recent unofficial or official transcript in English.
- Under “Degree Status,” select “Now attending” to upload a transcript.
At Google, data drives all of our decision-making. In the Data Scientist - Research role you work all across the organization to help shape Google's business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. You will work with Engineers, Product Managers, Sales Associates, and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
Qualifications
JOB RESPONSIBILITIES
- Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, design and assess improvements to Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user products.
MINIMUM QUALIFICATIONS
- Currently pursuing a PhD degree in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
- Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
- Experience with data analysis.
- Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).
PREFERRED QUALIFICATIONS
- Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
- In their penultimate academic year or returning to a degree program after completion of the internship.
- Ability to draw conclusions from data and recommend actions.
- Ability to take on a leadership role and take initiative.
- Interest in teach others and learn new techniques.