Decision Scientist

Job Summary

Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge

Responsibilities

• 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)

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
• 1 to 2+ years experience in data science application in Retail or CPG Preferred
• Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital

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