Lead Data Scientist

• Analyze campaign and marketing data to identify trends, patterns, opportunities, and performance drivers.
• Develop and maintain data analyses using Python and SQL to support business and marketing initiatives.
• Define, monitor, and analyze key performance metrics and campaign KPIs.
• Support A/B testing and experimentation, including test design, analysis, and interpretation of results.
• Work with large and complex datasets to extract meaningful business insights.
• Collaborate with marketing and business stakeholders to understand analytical needs and translate them into actionable solutions.
• Build and maintain analytical reports and dashboards, leveraging tools such as Tableau when applicable.
• Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.
• Take ownership of analytical initiatives from problem definition through analysis and delivery.
• Apply strong statistical and analytical thinking to evaluate campaign performance and support business decisions.

Function: Marketing
Experience Level: Mid-Senior Level