As a Marketing Data Scientist, you will develop machine learning models to analyze customer behavior, improve promotional strategies, and conduct A/B testing in a collaborative analytics team.
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.
IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
We are seeking an experience Marketing Data Scientist to join its Analytics team!
The position will join an existing Analytics and Data Science department, and partner with IDT’s new AI Lab to push models into production.
Responsibilites:
- This is a modeling heavy role:
- Create reproducible machine learning models that will be put into Production.
- Model customer behavior around retention and purchase frequency.
- Model promotional Uplift.
- Develop and improve next-best-offer recommendations
- A/B testing
Requirements
- 3 years of experience in Data Science models including Regression, Classification, Boosting, and Tree-based models.
- Advanced knowledge of Python’s Pandas package
- Advanced knowledge of Python’s scikit-learn package
- Basic working knowledge of SQL
- Bachelor’s degree
The Senior Customer Lifecycle Analyst will report to the Executive Vice-President Analytics and work in close collaboration with the Customer Marketing Director. They will join an existing Analytics department with a proven history of driving value across the organization.
The Customer Lifecycle Analyst will also partner with various marketing stakeholders on a daily basis as part of their responsibilities.
This is a very exciting opportunity to join an established team, at a growing and stable multinational firm, at the cutting edge of analytics and marketing technology!
PLEASE SUBMIT CV IN ENGLISH
Top Skills
Pandas
Python
Scikit-Learn
SQL
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