About
Washington DC or Remote Full Time Responsibilities
Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques Participating in the areas of architecture, design, implementation, and testing Proposing innovative ways to look at problems by using data mining approaches on the set of information available Designing experiments, testing hypotheses, and building models Conducting advanced data analysis and designing highly complex algorithm Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems Qualifications
You are the ideal candidate for this job if you have: At least 5 years experience in Java, Spring and MySQL (or any relational database) and Python Experience with databases (including NoSQL) Experience in machine learning frameworks and libraries Supervised and Unsupervised learning Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM) Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive) Computer Science or Mathematics or Physics degree Excellent communication and analytical skills Willingness to work hard (50 hrs per week) Very good English Nice To Have (Not Required)
Experience with Apache Spark Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization) R programming language
Languages
- English
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