Mid-Level Data Scientist

Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Data Science, Artificial Intelligence, Computer Science or a related field) 2+ years of overall experience in Machine Learning/NLP and data mining techniques Knowledge of Machine Learning algorithms, frameworks and libraries, including deep learning frameworks Good understanding of text representation techniques and experience in implementing NLP solutions (e.g., named entity recognition, information retrieval, question answering) Strong analytical, mathematical, and coding skills Strong communication skills Any experience with Azure or other cloud provider would be a distinct advantage

Working with large, complex data sets to solve challenging business problems by applying advanced analytical methods Articulating and translating business questions into technical solutions Building, benchmarking, and maintaining machine learning models and identifying data annotation efforts Leveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value