Data Scientist - Python & ML

This is a remote position.

• Strong Python programming with ML libraries (scikit-learn, pandas, NumPy, PyTorch/TensorFlow).

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  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.

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  Hands-on experience with MLOps practices (CI/CD for ML models, retraining, monitoring).

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  Ability to build end-to-end ML pipelines on cloud-native platforms (Azure ML preferred).