Responsibilities
- Design, develop, and maintain cutting-edge, custom machine learning models for production environments.
- Build advanced models to predict bad actors in our transaction flow.
- Develop and implement both supervised and unsupervised models from scratch to find anomalies and next likely outcome.
- Design generative models based on profile and transaction data.
- Deploy models into product in a real-time environment.
- Interact with MLOps functions to maintain models and increase accuracy, recall and precision.
- Lead the statistical design and analysis of A/B testing to validate model performance and business hypotheses.
Requirements
- 5+ years of professional experience in Data Science, with a strong portfolio of building and shipping original ML models.
- Deep theoretical and practical understanding of supervised/unsupervised learning, including Boosting, NN, Bayesian, Clustering, and related frameworks.
- Advanced use of Python: Pandas, Numpy, PyTorch/TensorFlow, and Scikit-learn for complex feature engineering, custom model design, and pipeline optimization.
- Proficiency in SQL for querying and structuring data from large-scale databases.
- Experience using MLOps tools like MLflow or ClearML in model development and inference.
- Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related).
Benefits
- 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.
Work Arrangement
Hybrid — Minsk, Chisinau
Additional Information
- Hardware provided: Really good hardware.
- Training support: Compensation for professional training, seminars, and conferences.
- Language support: Company-supported English classes.
- Work location: Hybrid work available in Minsk and Chisinau.
- Contract type: Remote b2b or hybrid.
