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Posted: Thursday, March 9, 2017 9:21 AM

Our Client is a custom manufacturer of high performance all rubber and rubber bonded products used in critical applications across a range of industries including oil and gas, industrial, transportation and railway.Our Client is seeking a Data Scientist with experience in developing robust software products based on cloud and enterprise engineering approaches for machine learning and software libraries for training intelligent models that may be applied to predictive modeling and diagnostics of engineering systems. An ideal candidate will also have experience with big data operational environments, such as Hadoop, and knowledge of HDFS, Hive, and the associated Hadoop stack offerings. Responsibilities:Demonstrate an outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. Have strong data mining skills and be a problem solver who enjoys diving into data, is excited about investigations, and can effectively interface between technical teams and business stakeholders.Design, Architect and Build a cloud based multi-tenant platform hosted on Microsoft Azure IoT Platform.Ability to manipulate, transform and summarize data ie extract, analyze, cleanse, and process data from many sources, from multiple angles, to reveal useful patterns, trends, and associations. Create visualizations for business partners and management that encapsulate and summarize extracted insights in a clear and compelling manner.Coordinate development activities with Engineering team, research, and selected external companies.Create modular, well-organized and properly documented code and produce accurate documentation to communicate information in a manner that is understandable and actionable by business partners.Independently work with the Business and Development teams to understand business challenges, and identify industry technologies and techniques available to provide a solution.Collaborate with product managers, designers, engineers, and a cross-functional business team, including representatives from marketing, product management, engineering, quality assurance, and customer support. Exceptional ability to build rapport and credibility with both technical and non-technical staff is crucial.Qualifications:BS in Engineering or Computer Science Masters or PhD with Software / Electronics engineering will be preferred.Experience on designing and building highly scalable distributed systemsExperience in Multi tenancy, OOAD, design patterns, Web 2.0, SOA, Micro Services, Web Sockets, Comet, REST, Distributed architecture, MOMs, EDA, document based data stores, data structures, NLP, Statistical Models, SPAExperience with artificial neural networks, support vector machines and other machine learning techniques including kernel classification methods and ensemble approaches to classification.Experience with various aspects of cloud including SaaS, PaaS and IaaS and hands on experience on Microsoft Azure or Amazon AWS cloud platform.Hands on experience on building and designing applications using various Microsoft Azure offerings and products including Service Fabric, Search Service, Service Bus, Notification Hubs, IoT hub, SQL Azure, Blog/Table storage and Azure PowerShellExperience in Agile Development Strong desire to innovate and collaborate.Predictive modelling / programming experience using tools such as R, MATLAB, Python.Experience and interest in high-level programming language (eg R, JavaScript, Python) or analytical packages such as MATLAB or Mathematica.Proficiency in C#/C/C++ and experience with, Git, Bash/shell scripting and machine vision libraries like OpenCV, ITK and VTK..


• Location: Fort Worth

• Post ID: 48756798 fortworth is an interactive computer service that enables access by multiple users and should not be treated as the publisher or speaker of any information provided by another information content provider. © 2017