Marketing Data Scientist

📋 Description

• Liaise with the data warehousing team to define dataset requirements.
• Collaborate with data engineers to automate data collection and cleaning.
• Identify and correct data irregularities.
• Synthesize data sets to extract predictive insights.
• Build and deploy predictive models to inform growth strategies.
• Apply machine learning models to anticipate consumer behavior.

🎯 Requirements

• Strong business acumen linking analytics to marketing and finance objectives.
• Proven ability to influence executives and cross-functional teams.
• Exceptional leadership and communication skills.
• Creative and rigorous problem-solving across multi-source data environments.
• Self-starter thriving in fast-paced, ambiguous environments.
• Experience building, deploying, and monitoring predictive models.
• Deep ML techniques to model consumer behavior and journeys.
• Familiarity with Marketing Mix Models (MMM) to reallocate budgets for ROI.
• Proficiency in Python, R, SQL.
• Proficiency with Tableau or Power BI (or similar).
• 8+ years of related experience.
• Experience in a B2B setting.
• Experience with customer lifetime value modeling.
• Working knowledge of digital marketing platforms and data structures.
• Advanced degree (Master's or PhD) in a quantitative field.