Role Overview
As a Business Data Scientist, you will work with complex data sets, applying advanced analytical methods to conduct analysis and make business recommendations. You will interact cross-functionally, making recommendations with effective presentations of findings at multiple levels of stakeholders.
What You Will Do
Your responsibilities will include working with large data sets, designing and analyzing controlled experiments, developing and automating reports, and building and prototyping analysis pipelines to provide insights at scale.
Why It Might Be a Fit
To be successful in this role, you will need to have experience building and deploying machine learning models, expertise with statistical data analysis, and the ability to persuasively communicate your recommendations to senior-level executives.
Requirements
- Master’s degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree
- Experience building and deploying machine learning models, with practical application in recommendation engines or customer segmentation
- Experience in controlled experiment design and causal inference methods
- Applied experience with machine learning on large-scale computing systems like Hadoop, MapReduce or similar environments
- Expertise with statistical data analysis such as generalized linear models, multivariate analysis, clustering/segmentation, and sampling methods
Benefits
- US: $138000 – $197000 (USD) + 15% bonus target + equity + benefits
- Learn more about benefits at Google
To apply for this job please visit www.google.com.
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