Senior Data Scientist

Tasks

• Build supervised and unsupervised models
• Create generative models
• Deploy models to real time environments
• Design machine learning models
• Develop anomaly detection
• Lead A B testing design and analysis
• Maintain models with MLOps
• Predict bad actors in transactions

Perks/Benefits

• Annual performance review
• Company-provided hardware
• English classes
• Hybrid work
• Long-term growth
• Professional training
• Referral program
• Remote work
• Seminars and conferences

Skills/Tech-stack

A/B | A/B Testing | Anomaly Detection | B testing | Bayesian Methods | Boosting | ClearML | Clustering | Feature Engineering | Generative Models | MLOps | MLflow | Machine Learning | Neural Networks | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning