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Data Scientist Position
2 weeks ago
**Job Overview**
VML South Africa is seeking an exceptional Data Scientist/Analyst to drive customer insights and marketing optimization.
This individual will be responsible for developing and implementing advanced analytics models to enhance our understanding of customer behavior and drive personalized experiences across various touchpoints including website, CRM, and paid marketing media.
You will work closely with both agency and client stakeholders to ensure that the data infrastructure supports the client's business objectives and enables the delivery of exceptional customer experiences that drive business value.
- Customer Segmentation: Develop and implement data-driven segmentation models to categorize customers based on demographics, behavior, purchase patterns, and other relevant attributes.
- Propensity Modelling: Build and refine propensity models to predict customer behaviors such as purchase likelihood, churn risk, and response to marketing campaigns.
- Marketing Attribution Modelling: Develop and implement marketing attribution models to quantify the impact of different marketing channels and touchpoints on customer conversion and engagement.
- Media Mix Modelling: Design and implement media mix models to optimize marketing budget allocation across various channels for maximum ROI.
Key Responsibilities
- Develop and implement advanced analytics models to drive customer insights and marketing optimization.
- Work closely with stakeholders to ensure data infrastructure supports client business objectives.
- Collaborate with cross-functional teams to translate complex data insights into actionable business strategies.
- Maintain up-to-date knowledge of latest data science methodologies, technologies, and industry best practices.
Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Master's degree preferred.
- 5+ years of proven experience as a Data Scientist/Analyst, ideally within the banking or financial services sector.
- Strong understanding and hands-on experience with statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in data analysis tools and programming languages such as SQL, Python, and R.