Decision Scientist

You will be responsible for Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPIs - Knows and applies fundamental work theories/concepts/processes in own areas of work 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 also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any) You will need -1-2 year experience in data science application in Retail or CPG Preferred - Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital Applied Math: Applied Statistics, Design of Experiments, Linear & Logistic Regression, Decision Trees, Forecasting, Optimization algorithms - Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Powerpoint - Soft Skills: Analytical Thinking & Problem solving, Storyboarding