Senior Data Scientist

The mission of the Data Scientist in the Supply (Incentive) team is to leverage statistical modeling, machine learning, and data-driven approaches to optimize business decisions and improve campaign performance in a dynamic marketplace.
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Model Development: Design, develop, and implement predictive models using machine learning and AI techniques to improve the accuracy, efficiency, and effectiveness of internal and external products.
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Data Integration: Identify, integrate, and leverage relevant data sources to enhance modeling capabilities, analytical insights, and data-driven decision-making within the Incentive team.
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Data & Business Analytics: Translate complex business requirements into analytical frameworks, develop actionable insights, design experiments, and analyze data to support strategic decisions and business growth.
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Subject Matter Expertise: Act as a subject-matter expert in machine learning and predictive modeling, providing analytical guidance and sharing knowledge with the Commercial team and other stakeholders.
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Model Lifecycle Management: Own the end-to-end machine learning model lifecycle, including feature engineering, model selection, optimization, validation, deployment support, and ongoing performance monitoring.
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Business Mindset: Maintain a strong understanding of business objectives, KPIs, and operational challenges to ensure analytical solutions deliver measurable impact and actionable business value.