Senior Decision Scientist

- Following Tesco's Business Code of Conduct and always act with integrity and due diligence
- Engaging with business & functional partners to understand business priorities; ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making
- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency
- Writing structured; modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub; Wiki; etc) with expert competency
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs
- Working with the line manager to ensure application / consumption and proactively identifying opportunities to help the larger Tesco business with areas of improvement
- Keeping up to date with the latest in data science and retail analytics and disseminating the knowledge among colleagues

Requirements

- Applied Math: Applied Statistics; Design of Experiments; Regression; Decision Trees; Forecasting; Optimization algorithms; Clustering; NLP
- Tech: SQL; Hadoop; Spark; Python; Tableau; MS Excel; MS Powerpoint; GitHub
- Business: Basic understanding of Retail domain - Soft Skills: Analytical Thinking & Problem solving; Storyboarding; Articulate communication

- 2 - 4 years experience in data science application in Retail or CPG Preferred - Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital