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Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques. Stay updated on advancements in data science, machine learning, and analytics.
$207,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Good python skills following software engineering best practices Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark Understanding of foundational Machine Learning concepts and some Deep Learning basics.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems. Extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering.
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Work with large, complex data sets to derive actionable business insights using machine learning and advanced analytics. Leverage machine learning, statistics, software engineering, behavioral science, and business knowledge to help design automated, intelligent marketing campaigns that influence consumer behavior.
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We are seeking a highly skilled Senior Data Engineer with expertise in AWS, Scala, and Spark to join our team. Proven experience as a Data Engineer, specifically with Scala and Spark. The ideal candidate will be proficient in developing and managing data pipelines using Scala, leveraging the Spark engine, and working with AWS & SQL. Experience with Java and AWS Glue is a plus.
$80 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description: Data Engineer Tech stack: Python, PySpark, AWS Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services. Job Description: Data Engineer Tech stack: Python, PySpark, AWS Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services.
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