Skills required :
- Risk Assessment
- Payments and Purchasing Habits
- Determining Lifetime Customer Value
- Asset Management
- Fraud Detection and Prevention
Responsibilities :
- Design, build, test and deploy ML models at scale
- Experience with modern machine learning techniques including Ensemble Methods,
- Recommender Systems, NLP and Deep learning
Skills and Experience :
- ML algorithms ( Supervised / Unsupervised Learning, Clustering, Time Series Forecasting, recommender systems, Deep learning)
- Languages and packages - Python, Spark, PySpark, SparkML, MLlib, Tensorflow, NLP Packages
- Knowledge in cloud platform - Microsoft Azure ADF, Azure kafka, Azure Databricks, Databricks MLflow
- Experience building scalable / highly available distribute systems in production
- Hands-on experience in Data Science with exposure to online recommender systems, NLP, traditional ML
- Work experience with Digital-native companies, Fintech application companies OR e-commerce companies.
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