Pipe Technologies - Senior Data Scientist

• Building and optimizing deep learning models for forecasting, classification and ranking that predict key user, product or business outcomes, including definition and improvement of model performance metrics such as accuracy, AUC, RMSE or MAPE. • Designing, training and evaluating deep learning models for sequence and time series data, including transformer based architectures and recurrent neural networks, applied to forecasting or similar domains. • Executing end to end machine learning projects, including data collection and preprocessing, feature engineering, model development, deployment to production systems and ongoing performance monitoring. • Machine learning, deep learning, optimization, statistics and probability theory, including the design and analysis of loss functions, weight initialization schemes and neural network architectures under computational and data constraints. • Statistical and causal inference methods, including probabilistic graphical models, Bayesian inference, difference in differences or propensity score based methods, to estimate the impact of business or product interventions. • Experimentation, including design, execution and analysis of A/B tests and offline and online experiments in production environments. • Large scale data processing and model training using modern machine learning frameworks such as PyTorch, TensorFlow, JAX, scikit learn, MXNet or Spark, and cloud platforms such as AWS or GCP. • Location • Position may work remotely from anywhere in the U.S. (HQ: San Francisco, CA)