Minimum qualifications:

• Currently pursuing a PhD in statistics, biostatistics, computer science, mathematics, operations research, or a related technical field involving experimental design and quantitative analysis of experimental data.
• Experience working with large datasets using Python, R, SAS, Matlab, or other statistical software.
• Experience with methods of statistical data analysis, such as linear models, hypothesis testing, multi-level models, and Bayesian methods.

Preferred qualifications:

• Currently in your penultimate year of a PhD degree.
• Experience with causal inference methods.
• Experience developing intellectual capital such as peer-reviewed publications.
• Available to work full-time for a minimum of 13 weeks.

About the job

Join us for a unique internship in 2022. Google's Data Scientists work within our Software Engineering organization, including Search, YouTube and Ads. We analyze huge sets of data and continually run live experiments in order to help drive critical decisions at Google. Specifically, we support the development of innovative, highly scalable, next-generation technologies through deep research and advanced analysis. The ideal candidate is currently pursuing a PhD degree program with an anticipated graduation date between late 2022 and Spring/Summer 2023, depending on their program and unique circumstances.

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.

Responsibilities

• Provide research on topics including Google's business model and novel search techniques.
• Produce quantitative and qualitative modeling of business dynamics and user behavior, amongst others.
• Identify areas for further investigation as well as creating innovative methods of analysis.