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 $1.5 billion in revenues.
IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
We are looking for a highly technical Data Scientist to join our established Analytics department. This is a modeling-heavy role focused on building high-performance, reproducible machine learning systems that drive core business decisions. You will join an existing Analytics and Data Science department, and partner with IDT’s new AI Lab to push models into production.
Responsibilites:
Production-Grade Modeling: Design, develop, and maintain reproducible
machine learning models for production environments.
Behavioral Forecasting: Build advanced models to predict user engagement
patterns, including retention and activity frequency.
Optimization & Causal Inference: Develop Uplift models to measure the
incremental impact of business interventions.
Recommendation Systems: Improve and scale next-best-action (NBA) engines
to enhance personalized user experiences.
Experimental Design: Lead the statistical design and analysis of A/B testing to
validate model performance and business hypotheses.
Requirements
Experience: 3+ years of professional experience in Data Science, with a deep understanding of Supervised/Unsupervised learning including Regression, Boosting, Clustering, and related frameworks.
Core Stack:
Python: Advanced use of Pandas, Numpy, and Scikit-learn for complex feature engineering, model selection, and pipeline optimization.
SQL: Proficiency in querying and structuring data from large-scale databases.
Visualization: Ability to leverage Tableau to communicate complex analytical results through interactive dashboards and data storytelling.
Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related).
What we offer:
Remote work opportunity!
B2B Employment ($, gross).
Stable job with long-term growth perspective.
Competitive salary with annual performance review.
Really good hardware.
An exciting and challenging job with talented people around.
Continuous learning and career growth opportunities.
Compensation for professional training, seminars, and conferences.
Referral program – get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such
as reviewing applications, analyzing resumes, or assessing responses. These tools
assist our recruitment team but do not replace human judgment.
PLEASE SUBMIT CV IN ENGLISH
