Leadership Role - Data Science - Retail Analytics

Leadership Role - Data Science ( Retail Analytics ) : ( Only Females )

Must Have:

- In-depth knowledge of the retail sector, including understanding consumer behavior, market trends, supply chain dynamics, and the unique challenges faced by retail businesses

- Knowledge of retail analytics, including category management, shelf optimization, and sales performance analysis

- Experience in developing demand forecasting models, optimizing inventory management strategies

- Hands-on experience in the machine learning domains such as Regression, Classification, Unsupervised ML, Ensembles & Deep Learning

- Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases

- Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib)

- Advanced level programming in SQL and Python/Pyspark to guide teams

- Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.

- Ability to mentor and guide junior team members and act as an SME for all modeling and analytics deliverables

Nice to have:

- Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCP's Vertex AI platform, AWS SageMaker)

- Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)

- Experience with model explainability and interpretability techniques

- Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product

- Ability to think through complex user scenarios and design simple yet effective user interactions

- Good Communication and presentation skills