Machine learning data scientist, focused on delivering product to the end user in a Deep and fully online learning paradigm. Companies get an immediate adaptive learning framework providing real time insight and recommendation as data streams into the system. This technology may be applied to any problem from time series (eg finance), user behavioral data, content-content recommendation using context, and optimized decision and planning (eg, automatic campaigns and push notifications, manufacturing, transportation, and human management).Machine Learning and Data Science:Deep Learning and Architectures, Bayesian Inference and Machine Learning, Matrix Factorizations, Natural Language Processing, Text Mining, Context Aware Recommenders, Online Learning Environment, Algorithms, Correlation and Causation Analytics, Mathematical Analysis, Business Analytics, Technical Writing, Technical Sales, Dashboards. Theoretical Physics and Mathematics:Quantum Gravity, String Theory, Mathematics, Moduli Stabilization, Large N, AdS/CFT, Emergence, Statistical Physics and Critical Exponents, Tensor Analysis, Arithmetic Geometry, Langlands.
Listed skills include Machine Learning, Python, Algorithms, Data Mining, and 46 others.