
S&C Global Network - AI - Marketing Growth Analytics (DS) - Analyst
- Gurgaon, Haryana
- Permanent
- Full-time
- Working through the phases of project
- Define data requirements for Data Driven Growth Analytics capability.
- Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
- Knowledge of market sizing, 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.
- Development of AI/ML models in Azure ML tech stack.
- Develop and Manage data pipelines.
- Aware 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 elasticity models.
- Working knowledge of resource optimization
- Working knowledge of NLP techniques, 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.
- Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP)
- Must have knowledge of building price/discount elasticity models and conduct non-linear optimization.
- Must have good knowledge of NLP models, Large Language Models and applicability to industry data.
- Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes
- Bachelor/Master’s 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.