非公開
The Senior Data Scientist has a deep understanding of modern machine learning techniques, their mathematical underpinnings, and is able to translate this knowledge into business implication. This role is responsible for structuring and translating business problems into models, synthesizing complex data and defining and building advanced analytics techniques for wide-ranging use cases - from delivering a personalized customer experience to optimizing marketing spend, finding optimal price-points, providing accurate forecasts, assessing incrementality, and improving merchandising efficiencies.
This role also helps to drive the cloud-based machine learning roadmap (Azure based) and to guide and mentor less senior data scientists and engineers.
Working with multiple teams across the business is crucial to understand their goals, challenges and priorities. Hence, strong communication skills are essential – for highly technical discussions as well as translating ideas to less technical stakeholders.
Key Accountabilities
Model development / Programming / Data Engineering
Define & build novel advanced analytics techniques and approaches
Ensure robustness and quality of models
Work with stakeholders to define business questions, success criteria
Present results and consult the business
Conduct change management for new methodologies
Liaise with IT to improve the IT stack
Research best practices, technologies, tools, and trends
Guide and mentor less senior scientists/engineers