Data Science Intern, 2023 - Zurich, Schweiz - Google

Google
Google
Geprüftes Unternehmen
Zurich, Schweiz

vor 1 Woche

Lena Schneider

Geschrieben von:

Lena Schneider

beBee Recruiter


Beschreibung
Applications for this role will open on
_3rd January 2023_.

  • 1.

In the "Resume Section:
" attach an updated CV or resume

  • 2.

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.

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 datasets using Python, R, SAS, MATLAB, or other statistical software.
  • Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multilevel models, Bayesian methods, etc.).

Preferred qualifications:


  • Available to work fulltime for 13 weeks with a start date in June or July.
  • Currently in the penultimate year of a PhD degree.
  • Experience with causal inference methods.
  • Experience developing intellectual capital such as peerreviewed publications.

About the job:

Google's data scientists work within our Software Engineering organization, including Search, YouTube, and Google Ads. We analyze 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 research and advanced analysis.


This program is intended for students currently pursuing a PhD degree program with an anticipated graduation date between late 2023 and Spring/Summer 2024, depending on their program and unique circumstances.


Responsibilities:


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


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