Sobre este puesto de Senior Data Scientist en Idt
IDT is expanding its AI Lab and seeking a hands-on, highly experienced Senior Data Scientist with a proven track record of building new ML models from scratch and deploying them into real-time production. You will tackle complex problems across fraud prevention, payment risk, transaction scoring, personalization, and financial forecasting using large-scale transactional datasets. You will own the full modeling lifecycle — from problem framing through to production monitoring.
Key Responsibilities:
ML & Predictive Modeling: Design and build new models from the ground up (gradient boosting, neural networks, ensembles, anomaly detection) for anti-fraud, risk assessment, and personalization; maintain rigorous validation practices to prevent data leakage and overfitting.
End-to-End & MLOps: Partner with Data Engineering and MLOps to operationalize models in production (batch and real-time/low-latency); build training, experiment tracking (MLflow), and model/data drift monitoring pipelines.
Experimentation & Business Impact: Design A/B tests and statistical evaluations to measure model performance against key business metrics (reduced fraud losses, transaction acceptance rates, decision latency).
R&D & Technical Leadership: Explore emerging techniques (LLMs/GenAI, graph-based methods), establish engineering best practices, and mentor fellow team members.
Requirements (Must-Have):
Experience: 5+ years of hands-on experience in Data Science / ML, with a strong focus on designing and building new ML models from scratch and delivering them into production with measurable business impact.
English: B2+ (Upper-Intermediate or higher) — fluent written and spoken communication for technical discussions and daily collaboration with an international team.
Math & Modeling Foundations: Deep understanding of statistics, probability, and validation methodologies; practical experience handling class imbalance, model calibration, and anomaly detection.
Tech Stack:
Python: Advanced proficiency (Scikit-learn, Pandas, NumPy);
Deep Learning: Hands-on experience with PyTorch or TensorFlow;
SQL: Complex queries and large-scale data manipulation;
MLOps Tools: Experiment tracking and model lifecycle management (MLflow, ClearML, etc.).
Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
Nice-to-Have:
Domain experience in FinTech, Payments, or Fraud Prevention: real-time transaction scoring and low-latency inference.
Experience with cloud data platforms (Snowflake), Feature Stores, and event-driven architectures.
Background in time-series forecasting, graph neural networks, Explainable AI (XAI), or applied LLM solutions.
Master’s degree or Ph.D. in a quantitative discipline.
We offer you:
IDT is 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.
If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!
