Data Scientist - Python & ML

This is a remote position. Strong Python programming with ML libraries (scikit-learn, pandas, NumPy, PyTorch/TensorFlow). Solid knowledge of ML algorithms: Supervised: Regression, Random Forests, Gradient Boosted Trees. Unsupervised: K-means, DBSCAN, PCA, anomaly detection. NLP: Transformers, text classification, fuzzy matching. Time-Series Forecasting: ARIMA, Prophet, LSTMs. Proficiency in Deep Learning techniques. Hands-on experience with MLOps practices (CI/CD for ML models, retraining, monitoring). Ability to build end-to-end ML pipelines on cloud-native platforms (Azure ML preferred).