À propos
Responsibilities:
Develop and implement data science models for data ingestion, preparation, visualization, selection, validation, accuracy measurement, deployment, and monitoring. Utilize Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Seaborn, and Keras for advanced data analysis and modeling. Employ AWS SageMaker for building, training, and deploying machine learning models. Apply various algorithms including machine learning (classification, multiclass classification, regression), time series forecasting, computer vision, natural language processing, text analytics, graph databases, and IoT sensor data analysis. Leverage extensive experience in the railroad industry to deliver innovative data solutions and insights.
Required Skills : Data Analysis Additional Skills :
Data Scientist
Compétences linguistiques
- English
Avis aux utilisateurs
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