About

Amy Steier is a highly accomplished machine learning and data scientist with over 20 years of experience. She is currently the Principal Machine Learning Scientist at Gretel.ai, where she is responsible for helping developers safely and quickly experiment, collaborate, and build with customer data. Amy is passionate about big data and surfacing the hidden intelligence within it using techniques from machine learning, data mining, artificial intelligence, and statistics. She is highly skilled in predictive modeling, classification, clustering, anomaly detection, data visualization, ensemble methods, information retrieval, cybersecurity analytics, NLP, recommendation models, and user behavioral analytics. Amy is adept at building fast prototypes to assess and communicate the efficacy of a product solution. She is extremely self-motivated and capable of working independently, as well as part of a larger cross-functional team. She is experienced and skilled at leading a team of scientists and engineers. Amy enjoys mentoring and learning about new techniques and ideas. In summary, she is innovative, results-driven, and passionate about her work and enjoys working with others who are like-minded. Amy's data science and software skills include predictive modeling, clustering, anomaly detection, text analytics/NLP, search, R, Perl, Python, NumPy, Pandas, Scikit-Learn, C, C++, Java, Linux, Windows, Bash, Hadoop, HBase, Hive, MapReduce, Spark, SQL, MySQL, Elastic Search, MongoDB, ETL, REST, JSON, Gephi, Tableau, TensorFlow, MATLAB, Excel, PowerPoint, JavaScript, D3, SVG, HTML, CSS. Amy has previously worked as a Principal Data Scientist at Forcepoint, where she focused on applied research on cybersecurity analytics and threat coverage. She has also worked as a Principal Machine Learning Scientist at Websense, where she focused on technology research on current and future product lines, cybersecurity analytics and threat coverage, web categorization, and machine learning. Amy holds a Ph.D. and M.S. in Computer Science from the University of California, San Diego, and a B.S. in Computer Science from the University of California, Santa Barbara. Her relevant experience is 30.21 years, and she has a tech stack that includes ML, Research Scientist, AI, Web, NLP, Data Scientist, Sentiment Analysis, Search, SQL, Information Retrieval, XGBoost, Deep Learning, Spark, Scikit, MapReduce, Big Data, Javascript, Tensorflow, Pandas, Neural Networks