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Principal Applied Machine Learning Scientist
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- Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark)
- Reporting to the Senior Manager of Applied Machine Learning, the Principal Applied Machine Learning Scientist will build scalable machine learning applications by developing and deploying machine learning and deep learning models that improve the effectiveness of our business operations, designing machine learning processes against requirements and automating work across the organization to improve our speed and efficiency
- Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, Bayesian methods to build scalable solutions
- Experience using databases (e.g., Teradata, Snowflake, s3)
- Knowledge in model risk management strategies (model registry, concept/covariate drift monitoring, Hyperparameter tuning)
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