AddressManager - Retail Analytics - Data Science/Analytics
Retail Analytics - Manager
Experience : 8 to 13 years
Must have skills:
- Data Science, AI,ML Models/Frame works, DL, Cloud
Good to have: Visualizations, Containers
Domain: Retail or CPG/Consumer Packaged goods
Years of Experience: Candidates with 6+ years of hands on experience
Must Have:
- Understanding of techniques like Price Elasticity models, Sales Promo Uplift Modelling, Market Mix Modeling
- Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
- Good knowledge of statistics For e.g: statistical tests & distributions
- 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 or Python/Pyspark
- Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.
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)
