About This Role
This senior manager role involves leading projects in marketing growth analytics, leveraging AI and machine learning to drive business growth for clients. It focuses on developing and deploying analytical models, managing client relationships, and mentoring a team within Accenture's Strategy & Consulting Global Network.
Responsibilities
- Work through the phases of a project
- Define data requirements for creating a model and understand the business problem
- Clean, aggregate, analyze, interpret data and carry out quality analysis of it
- Develop AI/ML models
- Develop and manage data pipelines
- Develop and manage data within different layers of Azure/Snowflake
- Create insights presentations and client-ready decks
- Mentor and guide a team of 10-15 people
- Manage client relationships and expectations, and communicate insights and recommendations effectively
- Drive capability building and thought leadership
- Think analytically, use a systematic and logical approach to analyze data, problems, and situations
- Notice discrepancies and inconsistencies in information and materials
- Plan own tasks, discuss and work on priorities, track and report progress
Requirements
- 5+ years of advanced experience in Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation
- Experience in working with non-linear optimization techniques
- Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering
- Hands-on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib
- Awareness of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production
- Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models
- Working knowledge of MMM optimizer and its intricacies
- 5+ years of work experience in consulting/analytics with a reputed organization is desirable
- Master's degree in Statistics/Econometrics/Economics or B Tech/M Tech or Master's/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from a reputed college
- Must have knowledge of SQL and Python language and at-least one cloud-based technology (Azure, AWS, GCP)
- Must have good knowledge of Market Mix Modeling techniques and optimization algorithms and applicability to industry data
- Must have data migration experience from cloud to Snowflake (Azure, GCP, AWS)
- Manage sets of XML, JSON, and CSV from disparate sources