Manager - Retail Analytics - Data Science/Analytics

Manager - 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)