Responsibilities

• Lead and support advanced client-facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization.
• Act as a strategic partner to account teams, proactively identifying opportunities, shaping measurement strategies, and influencing decision-making.
• Apply hypothesis-driven analysis to diagnose performance and quantify impact.
• Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights.
• Analyze large-scale e-commerce and advertising datasets, leveraging statistical and ML methods to uncover opportunities and support growth strategies.
• Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend.
• Develop machine learning models, including forecasting and inferential analysis, and implement LLM-driven solutions where applicable.
• Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders.
• Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions.
• Present technical findings and recommendations to non-technical audiences, demonstrating strong client-facing and communication skills.
• Present complex analytical concepts in intuitive ways tailored to varying levels of stakeholder sophistication.