Description:
About the Role:
The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables.
Responsibilities:
- Analyze 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
- 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
- Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
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