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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Apply various Machine Learning (ML) and analytics techniques to develop classification and prediction models and leverage foundation models to develop generative AI capabilities; integrate client, domain (e.g., finance, sales) and industry knowledge into the solution.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
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From CIOs, to leaders in business and government, we help Gartner clients across enterprises translate insights into transformational actions and achieve their mission-critical priorities. At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
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The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.
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Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities.
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Gartner believes in fair and equitable pay. Ready to grow your career with Gartner? What makes Gartner a great place to work? Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C.
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Gartner Applicant Privacy Link: efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Requirements: Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline.
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Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. We deliver value to clients in areas such as IT Strategy Consulting, Benchmarking, Analytics and Optimization.
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Working knowledge and understanding of the application of data science (including machine learning, natural language processing, neural networks) This is an exciting opportunity for an analytical, creative, and experienced individual to make a big impact on Gartner's client experience as part of the Gartner Client Experience team.
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How modern data management environments need to be architected to future proof against new emerging and disruptive technologies, such as Data Fabric, machine-learning enabled automation, knowledge-graphs.
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Experience with data visualization tools and techniques to effectively communicate insights and findings. Work with clients to identify the business potential of Artificial Intelligence (AI) and establish AI strategies, define and prioritize AI use cases, establish AI governance, and collaborate with client stakeholders to understand technical and business constraints.
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