Data Engineer

-Build statistical and mathematical solutions to approach business problems -Build prototypes and productionalize advanced predictive modeling and machine learning tools -Work closely with Data Engineers and Software Developers to evaluate the technical trade-offs -Build simple, yet robust, data science pipelines -Quantitative background FOR IMMEDIATE CONSIDERATION: Send your updated resume to dylan.evangelista@rht.com Job Requirements -Quantitative background with advanced degree in Statistics, Computer Science, Data Science, Mathematics or Actuarial Science -Experience in multivariate analysis, predictive analytics and modeling solutions -Experience in implementing optimization methods, recommendation systems and deep learning -Excellent understanding of machine learning techniques and algorithms -Great programming skills and experience designing prototypes using Python and R -Familiarity with details of implementing algorithms on multi-core CPUs, clusters (MPI), GPUs, heterogeneous clusters, distributed frameworks (e.g. Spark, Hadoop). -SQL-based technologies (e.g. PostgreSQL or MSSQL) -Linux and MS Windows. -Experience in building and deploying solutions into a public cloud (Azure, AWS or GCP) FOR IMMEDIATE CONSIDERATION: Send your updated resume to dylan.evangelista@rht.com

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