VP of Data Science

Advises clients on AI-driven customer experience strategies and solutions, leveraging expertise in AI applications for CX enhancement. Focuses on integrating AI to improve customer interactions and satisfaction.

Analysiert und modelliert Geschäftsprozesse im Provisionsmanagement, entwickelt Optimierungskonzepte und konfiguriert/implementiert Lösungen in SAP Commissions. Fokus auf Incentive- und Provisionsmanagement.

This senior role focuses on developing powerful backend systems for digital commerce, with a specific emphasis on the data platform. It requires advanced Python skills and system design expertise.

Specializes in building time series analysis and forecasting models for client projects, leveraging advanced ML techniques. Requires deep expertise in statistical modeling, feature engineering, and model deployment.

Develops and deploys machine learning models to solve complex business problems. Responsibilities include model training, optimization, and integration into production systems, requiring expertise in ML frameworks and software engineering best practices.

This VP-level role leads the data product strategy, overseeing the development and execution of data-driven products and platforms. Responsibilities include defining the product roadmap, managing cross-functional teams, and ensuring data products deliver business value and align with company goals.

This role leads ad operations and automation initiatives, optimizing campaign delivery and implementing automated workflows. The lead will manage ad serving, troubleshoot issues, and collaborate with sales and engineering to improve operational efficiency.