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Preferred Qualifications, capabilities, and skills Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. As a Vice President, Marketing Analytics Data Scientist Lead within the JPM Private Client Data & Analytics team you will be responsible for managing and supporting the JPM Private Client Marketing campaign management lifecycle with targeting, sizing, business case support, modeling support, list execution support, reporting, test design building and reading, financial assessments, forecasting and overall campaign analysis (focusing on acquisition volume and quality.
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3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
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Experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping,and scalable data pipelines and experience with big data analysis tools and techniques.
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We are looking for a big data developer who is passionate about working with large scale systems using cutting-edge technologies and tools to help identify and disrupt malicious threats on the Internet.
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Experience in using Databricks for big data analytics and processing. Experience with Data Orchestrator tool like Airflow. Familiarity with data governance and metadata management.
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The Java Data Engineer will be a part of Verint’s Big Data team responsible for developing batch or event-driven data pipelines in the cloud (AWS) while improving the reliability, security, resilience, and performance of the Big Data pipeline.
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Monitors, analyzes, reports and troubleshoots the existing big data platform. 1-3 years of experience with Cloud Computing (GCP, Big Query, Snowflake) Familiarity with the areas and concepts in Master Data Management, Data Warehousing, Analytics, ERP, and CRM.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The solutions developed draw on IT-RI’s strong capabilities in statistical modeling, machine learning, natural language processing, information retrieval, statistical genomics, data mining, and big data management and analytics.
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Providing thought-leadership for innovating toward the next evolution of technology products, including agile approaches, leveraging ‘big data’, cloud platforms and services, advanced analytics, data science and machine learning/artificial intelligence.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. What Data Science contributes to Cardinal Health.
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As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques.
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Express has an exciting opportunity for a curious, motivated, forward thinking, analytical software senior data engineer to join and shape the future of the Enterprise Data team for the Enterprise Data department.
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Experienced in developing large scale enterprise applications using Big Data open source solutions such as Hadoop, Spark, Kafka, and Elastic Search. Big Data Developer. Advanced knowledge of application, data and infrastructure architecture disciplines.
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4+ years of experience with big data technologies such as Azure Databricks and Apache Spark. 8+ years of experience of data engineering such as building and optimizing big-data pipelines, architectures, and data sets or similar job duties.
$125,800 - $188,600 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Requires two (2 ) years of experience in each of the following: Big Data platforms: Azure, GCP or AWS; ETL for enterprise data management; MS Business Intelligence tools: SSIS, SSRS and SSAS; programming in SQL or Python; visualization tools including Power BI or Tableau; and designing data models and solutions for analytical and reporting use cases.
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big data jobs Title: data in Columbus, OH
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