- Should be a Project Lead, Technical Ownership and Review Estimations, Technical Approach Production Deployment,
- Ability to conceptualize PoC in Data Assessment and Modeling.
- Must have exposure of working on Churn and Clustering problems
- SQL knowledge – Basic and Advanced Python as the primary programming language, sometime Spark or Pyspark
- Knowledge of Statistics Distributions, Hypothesis testing, concepts of probability, Correlation, Anova, etc.
- Ability to analyze data to find insights, Visualization skills
- Expertise on algorithms like Linear Regression, Tree based models, Random Forest, XGBoost, Neural Nets, Ensemble models, etc.
- Experience on Forecasting, Recommendation sys, Regression, Classification problems.
- In some cases might even need NLP skills
- Ability to do ML on AWS cloud (Sagemaker, Lambda, S3, Athena, Glue)
- Experience on Tableau for enable consumption of modeling results
- API creation using flask, docker, Fast API, etc.
Ability to productionize ML models MLOps