Alpha Recruitment Washington , DC 20001
Description of the project: The demand for analysis of data sets, data analytics and text analytics is growing with the expanding streams of available data. The projects are designed to provide enterprise analysis, analytical software, tools, dashboards, reports and analytical data support to the customer, all based on the methods and models developed by financial economists.
Masters degree in computer science, statistics, or applied mathematics
4 years' experience in creating machine learning pipelines to derive insights from data (i.e., from data aggregation and cleaning, to using machine learning techniques)
Familiarity with unsupervised (e.g., clustering), semi-supervised (e.g., label propagation), and supervised learning (e.g., ensemble classifiers) algorithms, and when it is appropriate to use each
Deep experience in creating, managing, and analyzing large datasets
Familiarity with contemporary scripting languages such as Python and R, the Hadoop computational ecosystem, Oracle relational databases, and the Linux/UNIX operating system Preferred qualifications:
Knowledge of deep learning paradigms and architectures
Masters degree with 5 years of experience in creating machine learning pipelines, creating large datasets, unsupervised (clustering), semi-supervised (label propagation), and supervised algorithms.