4+ years of experience analyzing data in a fast-paced, data-driven environment Proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches (Machine Learning, Statistical Modeling, Forecasting, Econometrics) Experience using machine learning and deep learning frameworks (PyTorch, TensorFlow, scikit-learn) Ability to manipulate large data sets with high dimensionality and complexity Fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners Bachelor’s degree in Computer Science, a related field or equivalent experience