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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Master's degree in data science, computer science, statistics, computational linguistics or engineering preferred. 2+ year in a data science, machine learning engineering, artificial intelligence or equivalent role.
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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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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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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. 3+ years of hands-on experience as a quantitative developer developing financial models and software solutions.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. - Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Should be able to demonstrate expertise in designing and building efficient and scalable data engineering solutions using Massively Parallel Processing (MPP) architecture. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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About the Opportunity: Reporting to the President of World Science U (WSU) and Executive Director of Education, or in their absence, the Director of Education, the WSS program Manager oversees daily operations of the WSS program, working intimately with world-renowned scientists and coordinating with the WSF media team to produce and film high quality courses.
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Prior experience with Radiology Information Systems, PACS, Data processing and digital data transfer process. Registered X-Ray Technologist by American Registry of Radiologic Technologists (ARRT.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Use advanced technical skills including reverse engineering skills to support advanced investigations involving cryptocurrency, malware, and IoT devices in cyber or high-tech investigations. -Certified and experienced in performing forensic analyses using commercial software such as Magnet Axiom, Cellebrite, X-Ways, Encase, Forensic Toolkit, and similar software suites are preferred (please list certification type and date, or relevant experience on your cover letter and resume.
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Operations & Technology Transformation Senior Consultant, Guidewire Data Migration - ETL Developer. 4 years experience with Guidewire Cloud Claims migration. We implement innovative technology solutions spanning core, digital, data, analytics, cloud and AI.
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Extensive knowledge of modern software tech stack, including front-end applications, large-scale backend, and data pipeline. BS/MS degree in Computer Science, Computer Engineering or other relevant majors with 3+ years of work experience.
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data science processing software engineering migration jobs in New York
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