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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Working with external partners and internal Dell technology, marketing and engineering teams to define and architect solutions related to data analytics to enable smarter decisions to deliver better productsIdentifying and working with software and hardware partners to assess data driven solutions, actionable insights and roadmaps for inclusion in future solutionsBeing the technical expert and resource for data management and analyticsPerforms analysis and design for medium-sized to large or complex development and maintenance projectsSelecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company s data with third party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear mannerCreating automated anomaly detection systems and constant tracking of its performanceRequirementsPhD and 10+ years of relevant experience or ME/MTech/MS (CS, EE, EC) and 15+ years of relevant experienceExtensive experience working with IaaS and PaaS systems ( Microsoft Azure, Amazon Web Services etc)Experience building large scale data warehousing solutions, analysis, design, development, and performance tuningExperience architecting highly scalable, distributed systems using different open source and commercial tools for multi-terabyte data warehousesSolid understanding and experience with high-scale or distributed RDBMS and knowledge of NoSQL platformsExperience normalizing complex datasets from a variety of sources Hands on experience in configuring Hadoop cluster of major Hadoop distributionsExperience in working with ecosystems like Hive, Pig, Sqoop, Map ReduceA clear understanding of cloud service and deployment modelsExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience with common data science toolkits, such as R, Python, Shiny, SLQ, MatLab, etc . Excellence in at least one of these is highly desirableGreat communication skillsExperience with data visualization tools, such as D3.js, GGplot, etc.Proficiency in using query languages such as SQL, Hive, Pig etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good applied statistics skills, such as distributions, statistical testing, regression, etc.Good scripting and programming skillsData-oriented personalityBenefits:We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities all to create a compelling and rewarding work environment.Our EVP:Our Culture Code unites us and makes us a great family of companies and a great place to work. It s how we run the business, go to market, work together and provide inspirational leadership.Our culture code is defined by our values and are made real every day by defining expectations for how we work and how we lead.,
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