Description
We are looking for a Data Scientist to join our client — an international technology company in the AdTech industry, headquartered in New York with offices around the world. The company develops software for digital advertising analytics and verification: its platform evaluates the quality of every ad impression — preventing ad fraud, ensuring brand safety and suitability, and verifying viewability and geo-targeting. Its clients include some of the world's largest brands, such as Vodafone and Mondelez.
The Data Scientist will take ownership of improving existing models, building statistically robust solutions, and translating business challenges into mathematical problems that are integrated into the platform.
Responsibilities
Enhance, fine-tune, and continuously improve existing modeling solutions, including customizing open-source libraries to meet project requirements; Perform exploratory data analysis and feature engineering to build statistically robust, interpretable models that reflect domain knowledge; Keep up with emerging methods and best practices in causal inference and experimental design; Translate complex business challenges into well-defined mathematical problems and communicate findings as clear insights and actionable recommendations to external stakeholders; Participate in code reviews and provide feedback on model architecture, system design, and technical implementation; Collaborate with product and engineering teams to integrate data science solutions i
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