Decision Scientist

• In this job, I am accountable for:
• Identifying operational improvements and finding solutions by applying CI tools and techniques
• Responsible for completing tasks and transactions within agreed KPI's
• 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)
• Experience relevant for this job:

• Applied Math: Applied Statistics, Design of Experiments, Linear
• 1-2 year experience in data science application in Retail or CPG

• & Logistic Regression, Decision Trees, Forecasting, Optimization
• Preferred
• algorithms

• Functional experience: Marketing, Supply Chain, Customer,
• Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS

Merchandising, Operations, Finance or Digital

Powerpoint

• Soft Skills: Analytical Thinking & Problem solving,

Storyboarding