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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud. Experience with big data technologies and platforms, such as Hadoop and Spark.
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The researcher will engage with diverse datasets, encompassing social media big data, electronic health records, unstructured clinical narratives, registry information, and patient surveys to support clinical decisions and influence policy direction.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Engineering, or related field, with proven experience in data engineering on AWS. Key skills include proficiency with AWS services (S3, Glue, EMR, Redshift, Athena, Kinesis), programming (Python, Scala), and big data frameworks (Apache Spark, Hadoop.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Knowledge of artificial intelligence, data science methods, and big data technologies. Join our dynamic team of Global Business Services (GBS) Data/Analytics & Automation and embark on an incredible journey towards digital progress.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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The Senior Data Platform Developer, Infrastructure supports the existing big data infrastructure on Google Cloud Platform, Google BigQuery ensuring data is continuously and promptly available for analysis by the data science team.
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Proficient in the use of machine learning and data science to solve large-scale control or big data management problems. As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
$57 an hourFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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0 years of related experience with a Masters’ degree in Computer Science, Health Information Technology, Data Science, Information Systems, Software Engineering, Information Technology, Data Engineering, Applied Mathematics, Statistics, Biomedical Informatics.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, or Kafka is a plus. Education: Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
$62 an hourExpandApply NowActive JobUpdated 5 days ago
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