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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Clean, preprocess, and transform raw data into a suitable format for machine learning models.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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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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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.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) This role requires breadth of capability in data rather than a deep in a particular area (e.g. data science.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
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Hadoop administrator provides support and maintenance and its eco-systems including HDFS, Yarn, Hive, LLAP, Druid, Impala, Spark, Kafka, HBase, Cloudera Work Bench, etc. Hadoop administrator using Cloudera, administers Cloudera technology and systems responsible for backup, recovery, architecture, performance tuning, security, auditing, metadata management, optimization, statistics, capacity planning, connectivity, and other data solutions of Hadoop systems.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experienced with big data processing technologies (Spark, Storm, Kafka, Flume, Pig, Hive, Sqoop, Hadoop/MapReduce, etc. Experienced with development and modeling for columnar storage and massively parallel processing data warehouses (Hadoop, Snowflake, Redshift) with a keen sense to optimize for scalability, availability, security, cost, and performance.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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This cluster hire initiative aims to hire four new faculty members over two years in the following areas of research: Mathematics Related to AI and Data Science (this position), Cryptography with applications to Machine Learning systems and algorithms, Computer Vision, and High-Performance AI Systems.
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Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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hadoop kafka data science machine learning jobs Company: Cardlytics
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