Manager, Marketing Data Scientist

Overview

What You Will Do

Data Strategy & Advanced Analytics

• Develop and execute advanced marketing analytics strategies, including predictive and prescriptive modeling, to forecast market dynamics and enhance business outcomes at an executive level.
• Champion the use of advanced statistical models and machine learning techniques to optimise marketing campaigns and drive data-driven decisions.

Big Data Management & Engineering

• Manage the strategic use of big data technologies, designing data architectures and data governance frameworks that ensure data integrity and utility across the organisation.
• Oversee data pipelines, ETL processes, and data integrity measures using technologies such as Hadoop, Spark, Snowflake, Redshift, and BigQuery.

Predictive Modeling & Machine Learning

• Lead the creation and deployment of predictive models using algorithms such as random forests, gradient boosting, and neural networks to predict customer behaviors and optimise marketing ROI.
• Implement and manage MLOps practices to ensure efficient deployment and monitoring of machine learning models across marketing functions.

Data Integration & Advanced Data Manipulation

• Ensure robust data integration from various marketing platforms like Salesforce, Marketo, and 6sense, using sophisticated ETL tools and data manipulation techniques.
• Handle complex data manipulations and transformations to maintain a cohesive data environment that supports comprehensive marketing strategies.

Reporting, Visualisation & BI Strategy

• Develop and maintain dynamic, interactive dashboards and visualisations that provide real-time insights into marketing performance, tailored for diverse stakeholders.
• Craft and implement a BI strategy that supports executive-level decision-making and strategic marketing planning.

Quantitative Research & Advanced Statistical Techniques

• Employ advanced quantitative methods like Monte Carlo simulations and Bayesian inference to support and refine marketing analytics.
• Continuously evolve analytical models based on new data and business requirements to stay ahead of market trends.

Cross-Functional Collaboration

• Collaborate with Demand Generation, Product Marketing, Sales, and Executive Leadership to align data strategies with business objectives.
• Mentor and guide a team of data analysts and scientists, promoting a culture of data literacy and analytical rigor within the marketing department.