Data Scientist, gTech Ads

Collaborate with internal and external stakeholders to unpack their issues and identify the best statistical techniques that can solve the issue; collaborate with colleagues on the development of end-to-end modeling framework.
Own the full data science lifecycle from raw data extraction and model development to delivering the final solution. Ensure the technical excellence of the math and the business relevance of the output.
Transform model results into "so-what" insights. Co-present findings to clients and work alongside them to ensure recommendations are integrated into their actual business processes.
Contribute to the development of standardized, scalable modeling frameworks. Collaborate with DS peers to ensure our solutions aren't just one-offs, but can be scaled across multiple client engagements.

Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
1 year of experience in a data science field.

2 years of experience using Python, SQL to solve messy, open-ended business problems.
Experience taking Machine Learning (ML) insights directly to customers or stakeholders including initial problem scoping and model selection to interpretation and driving business action.
Understanding of statistical models and their application in a commercial context.
Understanding of statistical algorithms typically used in marketing analytics e.g. experimentation (A/B testing), causal inference, and attribution modeling.

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