Job
Description
You will be joining a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications as part of the Data & AI practice. From data to analytics and insights to actions, you will provide 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, and 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 and tools for deploying and maintaining machine learning models in production. - 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. - Client Relationship Development: Manage client expectations, develop trusted relationships, maintain strong communication with key stakeholders, and act as a strategic advisor to clients on their data-driven marketing decisions. **Qualification Required:** - Bachelor/Masters degree in Statistics, Economics, Mathematics, Computer Science, or related disciplines. - Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions. Please note: The above job description does not contain any additional details about the company. You will be joining a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications as part of the Data & AI practice. From data to analytics and insights to actions, you will provide 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, and 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 and tools for deploying and maintaining machine learning models in production. - 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. - Client Relationship Development: Manage client expectations, develop trusted relationships, maintain strong communication with key stakeholders, and act as a strategic advisor to clients on their data-driven marketing decisions. **Qualification Required:** - Bachelor/Masters degree in Statistics, Economics, Mathematics, Computer Science, or related disciplines. - Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions. Please note: The above job description does not contain any additional details about the company.
