We are seeking an experienced and strategic Senior Data Scientist to join our high-impact analytics team in the Fast-Moving Consumer Goods (FMCG) sector. This is a hands-on technical role where you will lead the development of a cutting-edge Resource Allocation Model that directly influences marketing and media budget decisions, drives consumer demand, and enhances overall company performance.
Roles and Responsibilities:
- Develop, validate, and scale Resource Allocation Models to quantify the impact of sales and marketing packages on performance.
- Implement optimization algorithms to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
- Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
- Leverage PySpark to manage and transform large-scale retail, media, and consumer datasets.
- Build and deploy ML models using Python and TensorFlow, ensuring robust performance and business relevance.
- Collaborate cross-functionally with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
- Use GitHub Actions for version control, CI/CD workflows, and DVC for data versioning and reproducible ML pipelines.
- Present findings through compelling data storytelling and dashboards tailored for senior leadership.
- Mentor junior data scientists and foster a culture of innovation and excellence.
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