We are looking for a Data Scientist who is passionate about model development, training, and deployment.
In this role, you will collaborate closely with the development team responsible for building the infrastructure that supports models across all IDT products.
Your primary responsibility will be creating AI algorithms and machine learning models for our entire product range to prevent fraudulent activities and enhance our fraud prevention strategies
Job responsibilities:
- Maintain and grow current models for fraud prevention in payments
- Build new ML models for payments
- Add model explain ability for new and existing models.
- New model designed to better score new customers.
- Build ensemble models for better results
- Build unsupervised models for false positive reduction
- Build network models used to model relationships8. Build model for AML monitoring
- Build models to auto process manual alerts
Requirements:
- Experience in uplift modeling
- Experience in A/B testing or other types of marketing analytics
- Experience with data science techniques including regression, logistic, cluster analysis, KNN, k-means, support vector machines, Bayesian analysis, decision trees, and light gradient boosting models
- Working knowledge of SQL
- Working knowledge of Python, R or Rust
- Expertise in traditional predictive models
- Good level of English (B2 or higher).
About us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
Our flagship brand, Boss Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide.
