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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Our client is currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. 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.
$125,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Familiarity with the intersection of Big data environments and analytics such as data lake construction, cloud based analytical data storage (Big Query, Redshift or Snowflake), Automated Data Pipelines, GCP applications, and cloud deployment.
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1) Developing huge scale Data ingestion, Aggregation and Machine learning platform using ETL Design, Big Data, Spark, DataBricks, AWS, SnowFlake, and Data Lake.
$188,651.25 - $198,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Learning and Development Manager, manages the evaluation, development and implementation of the organization’s orientation and ongoing training and professional development programs, taking into consideration licensing standards, CARF and other accreditation standards, best practices, the agency’s mission and objectives, and employee performance and productivity.
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Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks. Develop and optimize Spark jobs for data processing, analysis, and machine learning tasks.
$95,900 - $129,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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The Data Scientist interprets and analyzes data to solve problems and sponsor needs, utilizing advanced algorithms in statistics, machine learning, and artificial intelligence for analyzing and classifying datasets.
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The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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training learning and development machine big data jobs Company: Capital One Financial Corp
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