Data Scientist, Ads Measurement Research

☞ Google

Ver: 126

Dia de atualização: 24-04-2024

Localização: Zürich Zürich ZH

Categoria: Vendas IT - Software Legal / Contratos

Indústria: Informatique

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Conteúdo do emprego

Minimum qualifications:

  • Experience with statistical software such as R or Python, and database languages such as SQL.
  • Experience with statistical data analysis such as multivariate analysis, stochastic models, sampling methods.
  • Experience leading improvement initiatives inside and across the organizations.


Preferred qualifications:

  • PhD degree in a quantitative discipline or equivalent practical experience.
  • Publication record in statistical journals.
  • Experience in programming in one or more of the following: C/C++, Scala, TensorFlow, Python and/or Go.
  • Work experience in a Statistician or Data Scientist role.
  • Experience with machine learning on large datasets.
  • Familiarity with experimental design principles.

About the job

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.

The goal of our team is to develop statistical methodologies to measure the impact of online advertising on different types of outcome, such as online sales, in-store sales, or brand perception, and to understand how to best allocate budget across multiple advertising media. Advanced Measurement Technologies is a research team in Ads with the mission of building new and expanded advertising capabilities through the application of statistical research and machine learning.

Our research projects include methodologies and algorithms for some of our key measurement products. In this role, you’ll collaborate with a multi-disciplinary team of Engineers and Analysts, bringing analytical rigor and statistical methods to a wide range of problems.

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on 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

  • Work with large, complex data sets and develop solutions (methodology and algorithms) for real world, large scale problems.
  • Solve non-routine, inter-disciplinary analysis problems by applying advanced analytical methods as needed.
  • Participate in research in statistical methodology and Machine Learning applications.
  • Interact cross-functionally with a wide variety of teams.
  • Work closely with engineers to identify opportunities for design and assess improvements to Google products.
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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Data limite: 08-06-2024

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