Senior Executive Data Science

Key Responsibilities:

• Data Analysis & Insights:
• Analyze large, complex datasets to identify trends, patterns, and actionable insights for ad performance optimization.
• Translate business challenges into data-driven solutions to improve campaign efficiency and revenue.
• Model Development & Deployment:
• Design, develop, and deploy statistical, machine learning, and generative AI models for CTR, CVR, demographic inference, and inventory forecasting.
• Integrate machine learning models into production systems for real-time insights and automated decision-making.
• Experimentation & Validation:
• Develop A/B testing frameworks and experimental designs to evaluate model improvements and quantify business impact.
• Continuously monitor and enhance model performance and data quality.
• Collaboration & Stakeholder Engagement:
• Work closely with Data Engineering, Product, Ad Tech, and Business teams to implement end-to-end solutions.
• Present methodologies, insights, and business impact to both technical and non-technical stakeholders.
• Innovation & Technology Adoption:
• Stay updated with the latest trends in data science, machine learning, and AI.
• Leverage large language models (LLMs) and generative AI techniques for contextual ad targeting and advertiser tooling.