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Job Type
Full Time
Job Details
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Redwood City, CA, USA; San Francisco, CA, USA. Minimum qualifications:
- Master's degree in Statistics, Mathematics, Bioinformatics, Economics, a related field, or equivalent practical experience.
- 2 years of experience in a data science field.
- Experience with statistical software (e.g., R, Python, MATLAB) and database languages (i.e., SQL).
- Experience leveraging data insights into storytelling for business stakeholders.
- PhD in Statistics or a related field.
- 2 years of experience with statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation, and sampling methods.
- Experience with machine learning on large-scale computing systems like Hadoop, MapReduce, or similar environments.
- Experience in controlled experiment design and causal inference methods.
- Ability to prioritize requests and partner well in an environment with competing demands from stakeholders.
- Excellent communication skills.
- Work with large, complex data sets. Solve complex analysis problems, applying advanced problem-solving methods (such as statistical and machine learning models) as needed. Conduct analysis that includes problem formulation, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of Ads marketing programs.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed.
- Interact cross-functionally, making 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.
- Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities.
About the Company
Google Inc.
Mountain View, CA, United States
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more