Senior Data Scientist (FinTech)

Location: Minsk, Warsaw, Tbilisi, Chișinău, Bucharest, Belgrade, or Lisbon; remote B2B or hybrid work opportunity, with hybrid work available in Belarus and Moldova.

Company

hirify.global operates BOSS Revolution, providing money transfer, international calling, and mobile top-up services.

What you will do

• Design and build new machine learning models from scratch for fraud prevention, risk assessment, personalization, and financial forecasting.
• Deploy models in batch and real-time or low-latency production environments with Data Engineering and MLOps.
• Build training, experiment-tracking, and model and data drift-monitoring pipelines using tools such as MLflow.
• Design A/B tests and statistical evaluations tied to fraud losses, transaction acceptance rates, and decision latency.
• Explore LLMs, GenAI, and graph-based methods while establishing engineering best practices and mentoring team members.

Requirements

• 5+ years of hands-on Data Science or Machine Learning experience, including designing and building new ML models from scratch and delivering them to production with measurable business impact.
• B2+ English with fluent written and spoken communication for technical discussions and daily collaboration.
• Deep knowledge of statistics, probability, and model validation, including class imbalance, calibration, and anomaly detection.
• Advanced Python with Scikit-learn, Pandas, and NumPy.
• Hands-on experience with PyTorch or TensorFlow.
• Advanced SQL for complex queries and large-scale data manipulation.
• Experience with MLflow, ClearML, or similar experiment-tracking and model-lifecycle tools.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.

Nice to have

• FinTech, payments, or fraud-prevention experience, including real-time transaction scoring and low-latency inference.
• Experience with Snowflake, feature stores, and event-driven architectures.
• Experience with time-series forecasting, graph neural networks, Explainable AI, or applied LLM solutions.
• Master’s degree or Ph.D. in a quantitative discipline.

Culture & Benefits

• Remote B2B or hybrid work arrangements, including hybrid options in Belarus and Moldova.
• Stable long-term employment with annual performance reviews and career growth opportunities.
• Hardware, professional training, seminars, conferences, and company-supported English classes.
• Referral program and additional perks for Minsk and Chisinau office employees.
• Collaborative environment supporting in-house entrepreneurship and business initiatives.