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:
- Remote b2b or hybrid (Belarus-Moldova) work opportunity!
- 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.
- More perks for the Minsk and Chisinau office employees.
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!
Skills Required
- 5+ years of hands-on experience in Data Science or Machine Learning, including building new models from scratch and deploying them to production
- B2 or higher English proficiency
- Deep understanding of statistics, probability, and model validation methodologies
- Experience with class imbalance, model calibration, and anomaly detection
- Advanced Python proficiency with Scikit-learn, Pandas, and NumPy
- Hands-on experience with PyTorch or TensorFlow
- Experience writing complex SQL queries and manipulating large-scale datasets
- Experience with experiment tracking and model lifecycle management tools such as MLflow or ClearML
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
- Experience in FinTech, payments, or fraud prevention
- Experience with Snowflake, feature stores, and event-driven architectures
- Background in time-series forecasting, graph neural networks, Explainable AI, or applied LLM solutions
- Master's degree or Ph.D. in a quantitative discipline
IDT Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IDT and has not been reviewed or approved by IDT.
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Healthcare Strength — Medical, dental, and vision coverage are included for full‑time employees, with published transparency files indicating employer‑sponsored health plans. This establishes a conventional benefits foundation across major coverage areas.
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Leave & Time Off Breadth — Paid vacation and sick time are characterized as generous, with illustrations of multi‑week vacation and defined sick‑leave allotments that can vary by team and tenure. This breadth provides a solid baseline for time away from work.
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Wellbeing & Lifestyle Benefits — Office amenities such as an on‑site gym, recreation spaces, free breakfast and coffee, and flexible work arrangements are highlighted. These wellbeing‑oriented perks augment the core package for in‑office and hybrid roles.
IDT Insights
What We Do
We know that you’ll have looked at quite a few company pages but IDT is different. We want people who want to make a big difference to our company with big ambitions. We’re a truly global team, with 1300 people working across all continents, apart from (at the moment!) Antarctica. But we are proud that despite our size, we encourage and support any in-house entrepreneurs to develop their ideas into business action. Our exciting growth plans make it a great time to join us. Our people are the reason for IDT’s passion for success. The IDT family is made up of people of all backgrounds, expertise, and interests, all with a relentless team spirit. We need people who share both our commitment to success and excitement about our journey. You won’t ever be bored or have to wonder how to fill your time. You’ll find the work challenging but you’ll get the support of a great team to help you beat those challenges. You will also be expected to support others as well as work hard, work well and work with a smile. If you want a join a company that will help you become your brilliant best and achieve amazing results, then you want to join IDT.
