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Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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Lead the configuration and maintenance of the OneStream platform, including workflows, data sources, transformation rules, business rules, calculations, dashboards, data management sequences, and cube/master data.
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Hands-on experience with SSAS and SSIS is desired. 3 years of architectural design and implementation experience in a Data Warehousing & Business Analytics environment (e.g., Data Lakes, Data Marts, BI, including development and implementation, data analysis, and report writing.
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Hands-on experience with HFM integration. 3 years of experience with specific technology domain areas (e.g., software development, systems engineering, infrastructure, security, networking, data & analytics.
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The Business Intelligence (BI) Systems Administrator will play a critical role in ensuring the smooth operation and optimization of BI solutions within the organization. Understand cumulative translation adjustment (CTA) calculations and their impact on financial statements.
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Understanding CTA calculations and their impact on financial statements. Your expertise lies in managing the technical aspects of BI systems, data integration, maintaining security, leading unit, system, and user acceptance testing efforts, and supporting end-users.
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Or, alternatively, Bachelor’s degree (or foreign education equivalent) in Engineering, Statistics, DataScience or a related field plus three (3) years of experience as a Data Analyst or a relatedoccupation performing advanced analytics using predictive modeling and machine learning.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Scientific background in life sciences or engineering and demonstrated expertise in one or more of the following areas: data analytics, data visualization, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
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hands on machine learning data engineering business intelligence jobs Company: Avanade in United-states, District Of Columbia
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