• Experienced data scientist with deep knowledge of analytics, big data, and machine learning • Been building large-scale self-serve data science and ML applications serving millions of customers • Proven ability to extract insights from data and distilling complex analysis into concise communication for business teams • Skills: Python, TensorFlow, PyTorch, R, Hadoop, Spark, Visualization (Tableau, Grafana), SQL, Excel, Matlab • Theoretical and applied understanding of machine learning techniques: Supervised and unsupervised algorithms (regression, classification, SVM, random forest, boosting), dimensionality reduction, recommendation engines, time-series analysis, ensemble methods, bayesian learning, computer vision (CNN architectures), natural language processing (LSTM) and deep learning