Description :
Roles & Responsibilities :
Analytics & Strategy :
- Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business
- Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data
- Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions
- Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data
Operational Excellence :
- Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
- Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems
- Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses
Stakeholder Engagement :
- Working collaboratively across multiple sets of stakeholders Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables
- Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
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