Job Description

- 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) Qualifications Operational skills relevant for this job - 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 - Foundational Statistics & Math Logical Reasoning - Adv Excel Strong Verbal and Written Communication - Basic SQL Big Data Infra Hadoop Hive Phython - Basic Visualization & story telling skills - Tableau - Microstrategy R Shiny - Basic Statistical Concepts - Central Measures of data Storytelling Correlation Analysis Design of Experiments Hypothesis Testing 1-2 year experience in data science application in Retail or CPG Preferred - Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital Additional Information Last Date of Application- 5th October 2023 Important Notice: On behalf of Tesco Bengaluru, we must caution all job seekers and educational institutions that Tesco Bengaluru does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Tesco. Further, Tesco Bengaluru does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Tesco Bengaluru shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. In the event that you come across any fraudulent activities in the name of Tesco Bengaluru, please feel free report the incident at [HIDDEN TEXT]

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