Job
Description
You will be joining a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. Your role will involve providing analytically informed, issue-based insights at scale to help clients improve outcomes and achieve high performance. **Roles & Responsibilities:** - Work through the phases of the project - Define data requirements for Data Driven Growth Analytics capability - Clean, aggregate, analyze, interpret data, and carry out data quality analysis - Have knowledge of market sizing and lift ratios estimation - Experience in working with non-linear optimization techniques - Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability - Hands-on experience in state space modeling and mixed effect regression - Develop AI/ML models in Azure ML tech stack - Develop and manage data pipelines - Aware of common design patterns for scalable machine learning architectures - Working knowledge of resource optimization - Working knowledge of NLP techniques and Large language models - Manage client relationships and expectations and communicate insights and recommendations effectively - Capability building and thought leadership - Logical Thinking: Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials - Task Management: Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress **Professional & Technical Skills:** - Must have at least 4+ years of work experience in Marketing analytics with a reputed organization - 3+ years of experience in Data Driven Merchandizing including work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients - Strong understanding of econometric/statistical modeling: regression analysis, hypothesis testing, multivariate analysis, time series, optimization - Expertise in Azure ML, SQL, R, Python, PySpark - Proficiency in non-linear optimization and resource optimization - Familiarity with design patterns for deploying and maintaining ML models in production - Strong command over marketing data and business processes in Retail and CPG - Hands-on with tools like Excel, Word, PowerPoint for communication and documentation **Qualification Required:** - Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines with an excellent academic record - Knowledge of CPG, Retail industry - Proficient in Excel, MS Word, PowerPoint, etc - Strong client communication Please note that the company mentioned in the Job Description is Accenture. You will be joining a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. Your role will involve providing analytically informed, issue-based insights at scale to help clients improve outcomes and achieve high performance. **Roles & Responsibilities:** - Work through the phases of the project - Define data requirements for Data Driven Growth Analytics capability - Clean, aggregate, analyze, interpret data, and carry out data quality analysis - Have knowledge of market sizing and lift ratios estimation - Experience in working with non-linear optimization techniques - Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability - Hands-on experience in state space modeling and mixed effect regression - Develop AI/ML models in Azure ML tech stack - Develop and manage data pipelines - Aware of common design patterns for scalable machine learning architectures - Working knowledge of resource optimization - Working knowledge of NLP techniques and Large language models - Manage client relationships and expectations and communicate insights and recommendations effectively - Capability building and thought leadership - Logical Thinking: Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials - Task Management: Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress **Professional & Technical Skills:** - Must have at least 4+ years of work experience in Marketing analytics with a reputed organization - 3+ years of experience in Data Driven Merchandizing including work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients - Strong understanding of econometric/statistical modeling: regression analysis, hypothesis testing, multivariate analysis, time series, optimization - Expertise in Azure ML, SQL, R, Python, PySpark - Proficiency in non-linear optimization and resource optimizat
