Data Scientist Intern, PhD, Summer 2022

Job Description

Please complete your application before January 28th, 2022.

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 who are currently pursuing a PhD degree program in a quantitative discipline with an anticipated graduation date on or before June, 2023, depending on their program and unique circumstances.

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):

1. In the “Resume Section:” attach an updated CV or resume.

• Please ensure you’ve listed your anticipated graduation date (in MM/YY) and any proficiency in statistical software and database languages on the resume, along with any technical experience or projects.

• Under “Degree Status,” select “Now attending” to upload a transcript.

Qualifications

Minimum qualifications:

• Pursuing a PhD degree in Statistics, Biostatistics, Operations Research, Physics, Economics, Applied Mathematics, or similar quantitative discipline.
• Experience with statistical software (R, Python, S-Plus, SAS, or similar) and experience with database languages (e.g. SQL).
• Experience with data analysis.

Preferred qualifications:

• Currently attending a degree program in the US with plans to return to the degree program after completion of the internship.
• Available to work full time for a minimum of 12 weeks outside of university term time.
• Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
• Ability to draw conclusions from data and recommend actions.
• Demonstrated leadership, self-direction and willingness to both teach others and learn new techniques.

About the job

Join us for a unique 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building.

At Google, data drives all of our decision-making. Quantitative Analysts 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. As an analyst, you do more than just crunch the numbers. You 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.
As a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Additional Information
(Colorado only*) Minimum salary of $82,000 + benefits.
*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.

Responsibilities

• Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods as needed. Conduct end-to-end 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 facing products such as ads quality, search quality, end-user behavioral modeling and live experiment

Locations

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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.